Explore careers

Want to be part of the innovative teams on the frontlines of climate technology? View open jobs and easily apply.

Aerial view of a mall plane flying over fields
\n\n
<div id="skip" class="jibe-container" role="navigation" aria-label="link navigation">\n  <button class="skip-to-main" onclick="skipToMain()" role="link">Skip to Main Content</button>\n</div>\n\n  <div id="all-content" class="snap-content " role="main">\n      \n\n    <section class="header-container" role="navigation">\n
\n
\n
\n \n\n\n\n
\n
\n \n \"logo\"\n
\n
\n \n \n
\n
\n
\n
\n / home \n
\n
\n
\n \n\n
</div>         \n<div class="collapse mobile-menu navbar-nav" id="header-nav--collapse">\n    <ul class="header__menu">\n      <li class="content-first">\n
\n

Search Jobs\n

\n\n
  • Home
  • \n
  • Work
  • \n
  • Life
  • \n
  • Students
  • \n
  • Check Application Status
  • \n \n
    \n
    \n \n\n\n \n\n \n \n\n
    <descriptions-app style="display: block;" _nghost-gag-c72="" ng-version="11.0.5"><div _ngcontent-gag-c72="" class="job-description-container">\n
    \n
    \n
    \n\n
    \n
    \n
    \n

    Staff Battery Cell Engineer, Modeling

    \n\n
    \n\n
    \n
    \n

    Job Description

    \n
    About Rivian

    Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. 

    \n

     

    \n

    As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. 


    Role Summary

    The role is to develop physics based/semi-empirical/empirical mathematical models to correlate the battery physics to cell level and eventually the pack level performance for various usage conditions. More over, the candidate is expected to apply the understanding of physics to define cell capability limits for fast charging, regen currents, discharge currents etc to support various decisions from cell celection to battery controls algorithm development.


    Responsibilities

      \n
    • Develop electrochemical models such as- porous electrode models/reduced order models/equivalent circuit models, to estimate battery electrical and electrochemical response under different usage conditions from the automotive perspective
    • \n
    • Apply physics-based models to develop fast charge profiles, regen current limits, discharge limits at the cell and potentially pack level.
    • \n
    • Develop semi-empirical tools based on battery physics which can be used to quickly estimate battery performance, design battery limits for newer cells without detailed datasets.
    • \n
    • Develop models to investigate the effects of temperature gradients on current distributions within cells and at the pack level.
    • \n
    • Guide experiments to develop optimal test procedures (at cell, module, and pack level) to extract the information to support model calibration and continuously improve model accuracy and to minimize the resource utilization.
    • \n
    • Use statistical tools to connect cell level models to pack level incorporating cell-to-cell variations and other pack level effects.
    • \n
    • Use physics-based model to guide battery degradation modeling and connecting vehicle usage to battery life/warranty
    • \n
    • Drive the decision for cell selection (chemistry and design) and system design based on the modeling and test results.
    • \n
    • Support electrical and thermal controls teams in controls development to meet the battery life targets.
    • \n
    • Define pathways to improve cell/pack design with enhanced performance and lifetime; develop intellectual property for Rivian’s battery cell technology.
    • \n
    • Review academic literature of lithium-ion cells and beyond, to support advancement of Rivian’s battery cell technology.
    • \n

    Qualifications

      \n
    • \n Must have:
        \n
      • PhD with a focus on battery modeling with Industrial experience (min 2 years) on battery degradation modeling.
      • \n
      • Experience of developing porous electrode models for the automotive/energy storage applications, such as developing fast charge protocol is a plus, understanding regen limits etc.
      • \n
      • Awareness about Statistical Methods to account for factors such as cell-to-cell variation etc. to connect the cell level models to the pack level models.
      • \n
      • Familiarity with important considerations while connecting cell models to pack models.
      • \n
      • Strong optimization skills and numerical skills.
      • \n
      • Experience in MATLAB/Simulink/COMSOL is necessary.
      • \n
      • Excellent communication skills.
      • \n
      \n
    • \n
    • \n Preferred:
        \n
      • Experience with data driven models/ machine learning skills is a plus.
      • \n
      • Familiarity with battery life model development is a plus.
      • \n
      • Experience with MSMD electrochemical-mechanical-thermal models is a plus.
      • \n
      \n
    • \n

    Pay Disclosure

    Salary Range Rate for California Based Applicants: $150,000-$173,000 (actual compensation will be determined based on experience, location, and other factors permitted by law).

    \n

    Benefits Summary: Rivian provides robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums. 




    Equal Opportunity

    \n

    Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.

    \n

     

    \n

    Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com.

    \n

    Candidate Data Privacy

    \n

    Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. 

    \n

     

    \n

    Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services. 

    \n

     

    \n

    Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.  

    \n

     

    \n

    Please note that we are currently not accepting applications from third party application services.

    \n
    \n\n
    \n\n
    \n
    \n\n \n\n \n\n \n \n\n \n
    <!-- FOR BRANDING SPECIFIC TRACKING SCRIPTS -->\n\n\n\n\n    \n
    \n\n
    \n
    \n
    \n

    Subscribe to learn about our latest news, updates and adventures.

    \n
    \n \n
    \n
    \n\n\n
    \n
    \n
    \n
    \n
    \n R1T\n R1S\n Gear Shop\n
    \n
    \n Fleet\n Our Company\n \n
    \n \n \n
    \n
    \n \n \n \n\n
          <a href="https://www.instagram.com/rivianofficial/" token-data="LP.FOOTER.SOCIAL-LINK_2" token-type="text" target="_blank">\n        <i class="fa fa-instagram" aria-hidden="true"></i>\n      </a>\n      <a href="https://twitter.com/rivian" token-data="LP.FOOTER.SOCIAL-LINK_3" token-type="text" target="_blank">\n        <i class="fa fa-twitter" aria-hidden="true"></i>\n      </a>\n      <a href="https://www.youtube.com/channel/UCPMdVVKDEUrbp3nH46sTZmg" token-data="LP.FOOTER.SOCIAL-LINK_4" token-type="text" target="_blank">\n        <i class="fa fa-youtube-play" aria-hidden="true"></i>\n      </a>\n  </div>\n</div>\n
    \n
    \n
    \n
    \n

    \n @ 2023, Rivian. All Rights Reserved.\n

    \n Privacy Policy\n Terms of Use \n

    \n @ 2023, Rivian. All Rights Reserved.\n

    \n
    \n
    \n
    \n\n\n\n\n\n\n\n\n\n\n\n\n\n
      </div>\n
    \n\n\n\n\n\n\n\n\n\n\n\n\n\n \n \n\n\n
    <script> window.jobDescriptionConfig = {"socialShare":true,"job":{"slug":"11719","category":[" Mechanical & Electrical Engineering"],"full_location":"Tustin, California","short_location":"Tustin, California","language":"en-us","languages":["en-us"],"client_code":"rivian","req_id":"11719","title":"Staff Battery Cell Engineer, Modeling","description":"<strong>About Rivian</strong><br><br><p style=\\"margin: 0px;\\">Rivian&nbsp;is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.&nbsp;</p><p style=\\"margin: 0px;\\">&nbsp;</p><p style=\\"margin: 0px;\\">As a company, we constantly challenge what&rsquo;s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.&nbsp;</p> <br><strong>Role Summary</strong><br><br><p style=\\"margin: 0px;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times;\\">The role is to develop physics based/semi-empirical/empirical mathematical models to correlate the battery physics to cell level and eventually the pack level performance for various usage conditions. More over, the candidate is expected to apply the understanding of physics to define cell capability limits for fast charging, regen currents, discharge currents etc to support various decisions from cell celection to battery controls algorithm development.</span></p> <br><strong>Responsibilities</strong><br><br><ul><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Develop electrochemical models such as- porous electrode models/reduced order models/equivalent circuit models, to estimate battery electrical and electrochemical response under different usage conditions from the automotive perspective</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Apply physics-based models to develop fast charge profiles, regen current limits, discharge limits at the cell and potentially pack level.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Develop semi-empirical tools based on battery physics which can be used to quickly estimate battery performance, design battery limits for newer cells without detailed datasets.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Develop models to investigate the effects of temperature gradients on current distributions within cells and at the pack level.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Guide experiments to develop optimal test procedures (at cell, module, and pack level) to extract the information to support model calibration and continuously improve model accuracy and to minimize the resource utilization.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Use statistical tools to connect cell level models to pack level incorporating cell-to-cell variations and other pack level effects.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Use physics-based model to guide battery degradation modeling and connecting vehicle usage to battery life/warranty</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Drive the decision for cell selection (chemistry and design) and system design based on the modeling and test results.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Support electrical and thermal controls teams in controls development to meet the battery life targets.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Define pathways to improve cell/pack design with enhanced performance and lifetime; develop intellectual property for Rivian&rsquo;s battery cell technology.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Review academic literature of lithium-ion cells and beyond, to support advancement of Rivian&rsquo;s battery cell technology.</span></li></ul> <br><strong>Qualifications</strong><br><br><ul><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\"> Must have:</span><ul><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">PhD with a focus on battery modeling with Industrial experience (min 2 years) on battery degradation modeling.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Experience of developing porous electrode models for the automotive/energy storage applications, such as developing fast charge protocol is a plus, understanding regen limits etc.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Awareness about Statistical Methods to account for factors such as cell-to-cell variation <em>etc</em>. to connect the cell level models to the pack level models.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Familiarity with important considerations while connecting cell models to pack models.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Strong optimization skills and numerical skills.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Experience in MATLAB/Simulink/COMSOL is necessary.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Excellent communication skills.</span></li></ul></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\"> Preferred:</span><ul><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Experience with data driven models/ machine learning skills is a plus.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Familiarity with battery life model development is a plus.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Experience with MSMD electrochemical-mechanical-thermal models is a plus.</span></li></ul></li></ul> <br><strong>Pay Disclosure</strong><br><br><p style=\\"margin: 0px;\\"><strong>Salary Range Rate for California Based Applicants:</strong><span>&nbsp;</span>$150,000-$173,000 (actual compensation will be determined based on experience, location, and other factors permitted by law).</p><p style=\\"margin: 0px;\\"><strong>Benefits Summary:</strong><span>&nbsp;</span>Rivian provides robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums.&nbsp;</p> <br><strong class=\\"jdheading\\"></strong><br><br><h4><strong>Equal Opportunity</strong></h4><p style=\\"margin: 0px;\\">Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.</p><p style=\\"margin: 0px;\\">&nbsp;</p><p style=\\"margin: 0px;\\">Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at&nbsp;<a href=\\"mailto:candidateaccommodations@rivian.com?subject=Application%20to%20Rivian%20-%20Assistance%20Request\\" target=\\"_blank\\" rel=\\"noopener\\">candidateaccommodations@rivian.com</a>.</p><h4><strong>Candidate Data Privacy</strong></h4><p style=\\"margin: 0px;\\"><span data-contrast=\\"auto\\">Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (&ldquo;Candidate Personal Data&rdquo;). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.</span><span data-ccp-props=\\"{"335551550":6,"335551620":6,"335559739":240}\\">&nbsp;</span></p><p style=\\"margin: 0px;\\">&nbsp;</p><p style=\\"margin: 0px;\\"><span data-contrast=\\"auto\\">Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian&rsquo;s service providers, including providers of background checks, staffing services, and cloud services.</span><span data-ccp-props=\\"{"335551550":6,"335551620":6,"335559739":240}\\">&nbsp;</span></p><p style=\\"margin: 0px;\\">&nbsp;</p><p style=\\"margin: 0px;\\"><span data-contrast=\\"auto\\">Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.&nbsp;</span><span data-ccp-props=\\"{"335551550":6,"335551620":6,"335559739":240}\\">&nbsp;</span></p><p style=\\"margin: 0px;\\">&nbsp;</p><p style=\\"margin: 0px;\\"><strong>Please note that we are currently not accepting applications from third party application services.</strong></p>","location_name":"14192 Franklin (Tustin California)","street_address":"14192 Franklin Avenue","city":"Tustin","state":"California","country":"United States","country_code":"US","postal_code":"92780","location_type":"LAT_LNG","latitude":33.7364,"longitude":-117.8229,"additional_locations":[],"categories":[{"name":"Mechanical & Electrical Engineering"}],"tags1":["Full Time"],"department":"","benefits":[],"employment_type":"FULL_TIME","qualifications":"<ul><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\"> Must have:</span><ul><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">PhD with a focus on battery modeling with Industrial experience (min 2 years) on battery degradation modeling.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Experience of developing porous electrode models for the automotive/energy storage applications, such as developing fast charge protocol is a plus, understanding regen limits etc.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Awareness about Statistical Methods to account for factors such as cell-to-cell variation <em>etc</em>. to connect the cell level models to the pack level models.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Familiarity with important considerations while connecting cell models to pack models.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Strong optimization skills and numerical skills.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Experience in MATLAB/Simulink/COMSOL is necessary.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Excellent communication skills.</span></li></ul></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\"> Preferred:</span><ul><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Experience with data driven models/ machine learning skills is a plus.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Familiarity with battery life model development is a plus.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Experience with MSMD electrochemical-mechanical-thermal models is a plus.</span></li></ul></li></ul>","hiring_organization":"Rivian","hiring_organization_logo":"https://Rivian.icims.com/icims2/servlet/icims2?module=AppInert&action=download&id=51&hashed=-1937123","responsibilities":"<ul><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Develop electrochemical models such as- porous electrode models/reduced order models/equivalent circuit models, to estimate battery electrical and electrochemical response under different usage conditions from the automotive perspective</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Apply physics-based models to develop fast charge profiles, regen current limits, discharge limits at the cell and potentially pack level.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Develop semi-empirical tools based on battery physics which can be used to quickly estimate battery performance, design battery limits for newer cells without detailed datasets.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Develop models to investigate the effects of temperature gradients on current distributions within cells and at the pack level.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Guide experiments to develop optimal test procedures (at cell, module, and pack level) to extract the information to support model calibration and continuously improve model accuracy and to minimize the resource utilization.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Use statistical tools to connect cell level models to pack level incorporating cell-to-cell variations and other pack level effects.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Use physics-based model to guide battery degradation modeling and connecting vehicle usage to battery life/warranty</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Drive the decision for cell selection (chemistry and design) and system design based on the modeling and test results.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Support electrical and thermal controls teams in controls development to meet the battery life targets.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Define pathways to improve cell/pack design with enhanced performance and lifetime; develop intellectual property for Rivian&rsquo;s battery cell technology.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Review academic literature of lithium-ion cells and beyond, to support advancement of Rivian&rsquo;s battery cell technology.</span></li></ul>","posted_date":"2023-06-29T19:09:00+0000","apply_url":"https://us-careers-rivian.icims.com/jobs/11719/login","internal":false,"searchable":true,"active":true,"applyable":true,"li_easy_applyable":true,"ats_code":"icims","hiring_flow_name":"iCIMS ATS Hiring Flow","meta_data":{"openingjobs":{"openingJobId":"000045a246a35397d87d127edf748d15fd3e"},"icims":{"revision_int":10,"uuid":"d6bd8d46-2206-4382-9a16-31a8a30c91d9","primary_posted_site_object":{"datePosted":"2023-06-29T19:09:00+0000","site":"us-careers-rivian","siteId":"efbf127b-fc4b-4b4e-a3dd-73c038922782"},"date_updated":"2023-08-04T01:22:43Z","config_keys":null,"jps_is_public":true},"elasticsearch":{"es_created":false},"ats_job_hash":"36c0c2ab8dd9b58f0f28cd3d252e6d5d","googlejobs":{"jobName":"projects/helpful-passage-853/tenants/cb22eb5b-7e00-0000-0000-007edad744d3/jobs/117397465721643718"},"import_id":"5752537b-9886-44e4-9e68-731ba6cb3ca3","redirectOnApply":true,"questionservice":{"id":"27559739"},"import_source":"ImporterService","client_code":"rivian"},"update_date":"2023-08-04T01:22:58+0000","create_date":"2023-06-29T19:10:12+0000"},"jobFormatted":{"categories":"Mechanical & Electrical Engineering","location":"Tustin, California","title":"Staff Battery Cell Engineer, Modeling","seo_title":["Mechanical+%26+Electrical+Engineering","Tustin%2C+California","Staff+Battery+Cell+Engineer%2C+Modeling"],"description":"<strong>About Rivian</strong><br><br><p style=\\"margin: 0px;\\">Rivian&nbsp;is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.&nbsp;</p><p style=\\"margin: 0px;\\">&nbsp;</p><p style=\\"margin: 0px;\\">As a company, we constantly challenge what&rsquo;s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.&nbsp;</p> <br><strong>Role Summary</strong><br><br><p style=\\"margin: 0px;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times;\\">The role is to develop physics based/semi-empirical/empirical mathematical models to correlate the battery physics to cell level and eventually the pack level performance for various usage conditions. More over, the candidate is expected to apply the understanding of physics to define cell capability limits for fast charging, regen currents, discharge currents etc to support various decisions from cell celection to battery controls algorithm development.</span></p> <br><strong>Responsibilities</strong><br><br><ul><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Develop electrochemical models such as- porous electrode models/reduced order models/equivalent circuit models, to estimate battery electrical and electrochemical response under different usage conditions from the automotive perspective</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Apply physics-based models to develop fast charge profiles, regen current limits, discharge limits at the cell and potentially pack level.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Develop semi-empirical tools based on battery physics which can be used to quickly estimate battery performance, design battery limits for newer cells without detailed datasets.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Develop models to investigate the effects of temperature gradients on current distributions within cells and at the pack level.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Guide experiments to develop optimal test procedures (at cell, module, and pack level) to extract the information to support model calibration and continuously improve model accuracy and to minimize the resource utilization.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Use statistical tools to connect cell level models to pack level incorporating cell-to-cell variations and other pack level effects.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Use physics-based model to guide battery degradation modeling and connecting vehicle usage to battery life/warranty</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Drive the decision for cell selection (chemistry and design) and system design based on the modeling and test results.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Support electrical and thermal controls teams in controls development to meet the battery life targets.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Define pathways to improve cell/pack design with enhanced performance and lifetime; develop intellectual property for Rivian&rsquo;s battery cell technology.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Review academic literature of lithium-ion cells and beyond, to support advancement of Rivian&rsquo;s battery cell technology.</span></li></ul> <br><strong>Qualifications</strong><br><br><ul><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\"> Must have:</span><ul><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">PhD with a focus on battery modeling with Industrial experience (min 2 years) on battery degradation modeling.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Experience of developing porous electrode models for the automotive/energy storage applications, such as developing fast charge protocol is a plus, understanding regen limits etc.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Awareness about Statistical Methods to account for factors such as cell-to-cell variation <em>etc</em>. to connect the cell level models to the pack level models.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Familiarity with important considerations while connecting cell models to pack models.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Strong optimization skills and numerical skills.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Experience in MATLAB/Simulink/COMSOL is necessary.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Excellent communication skills.</span></li></ul></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\"> Preferred:</span><ul><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Experience with data driven models/ machine learning skills is a plus.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Familiarity with battery life model development is a plus.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Experience with MSMD electrochemical-mechanical-thermal models is a plus.</span></li></ul></li></ul> <br><strong>Pay Disclosure</strong><br><br><p style=\\"margin: 0px;\\"><strong>Salary Range Rate for California Based Applicants:</strong><span>&nbsp;</span>$150,000-$173,000 (actual compensation will be determined based on experience, location, and other factors permitted by law).</p><p style=\\"margin: 0px;\\"><strong>Benefits Summary:</strong><span>&nbsp;</span>Rivian provides robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums.&nbsp;</p> <br><strong class=\\"jdheading\\"></strong><br><br><h4><strong>Equal Opportunity</strong></h4><p style=\\"margin: 0px;\\">Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.</p><p style=\\"margin: 0px;\\">&nbsp;</p><p style=\\"margin: 0px;\\">Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at&nbsp;<a href=\\"mailto:candidateaccommodations@rivian.com?subject=Application%20to%20Rivian%20-%20Assistance%20Request\\" target=\\"_blank\\" rel=\\"noopener\\">candidateaccommodations@rivian.com</a>.</p><h4><strong>Candidate Data Privacy</strong></h4><p style=\\"margin: 0px;\\"><span data-contrast=\\"auto\\">Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (&ldquo;Candidate Personal Data&rdquo;). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.</span><span data-ccp-props=\\"{"335551550":6,"335551620":6,"335559739":240}\\">&nbsp;</span></p><p style=\\"margin: 0px;\\">&nbsp;</p><p style=\\"margin: 0px;\\"><span data-contrast=\\"auto\\">Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian&rsquo;s service providers, including providers of background checks, staffing services, and cloud services.</span><span data-ccp-props=\\"{"335551550":6,"335551620":6,"335559739":240}\\">&nbsp;</span></p><p style=\\"margin: 0px;\\">&nbsp;</p><p style=\\"margin: 0px;\\"><span data-contrast=\\"auto\\">Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.&nbsp;</span><span data-ccp-props=\\"{"335551550":6,"335551620":6,"335559739":240}\\">&nbsp;</span></p><p style=\\"margin: 0px;\\">&nbsp;</p><p style=\\"margin: 0px;\\"><strong>Please note that we are currently not accepting applications from third party application services.</strong></p>","qualifications":"<ul><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\"> Must have:</span><ul><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">PhD with a focus on battery modeling with Industrial experience (min 2 years) on battery degradation modeling.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Experience of developing porous electrode models for the automotive/energy storage applications, such as developing fast charge protocol is a plus, understanding regen limits etc.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Awareness about Statistical Methods to account for factors such as cell-to-cell variation <em>etc</em>. to connect the cell level models to the pack level models.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Familiarity with important considerations while connecting cell models to pack models.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Strong optimization skills and numerical skills.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Experience in MATLAB/Simulink/COMSOL is necessary.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Excellent communication skills.</span></li></ul></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\"> Preferred:</span><ul><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Experience with data driven models/ machine learning skills is a plus.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Familiarity with battery life model development is a plus.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Experience with MSMD electrochemical-mechanical-thermal models is a plus.</span></li></ul></li></ul>","responsibilities":"<ul><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Develop electrochemical models such as- porous electrode models/reduced order models/equivalent circuit models, to estimate battery electrical and electrochemical response under different usage conditions from the automotive perspective</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Apply physics-based models to develop fast charge profiles, regen current limits, discharge limits at the cell and potentially pack level.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Develop semi-empirical tools based on battery physics which can be used to quickly estimate battery performance, design battery limits for newer cells without detailed datasets.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Develop models to investigate the effects of temperature gradients on current distributions within cells and at the pack level.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Guide experiments to develop optimal test procedures (at cell, module, and pack level) to extract the information to support model calibration and continuously improve model accuracy and to minimize the resource utilization.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Use statistical tools to connect cell level models to pack level incorporating cell-to-cell variations and other pack level effects.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Use physics-based model to guide battery degradation modeling and connecting vehicle usage to battery life/warranty</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Drive the decision for cell selection (chemistry and design) and system design based on the modeling and test results.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Support electrical and thermal controls teams in controls development to meet the battery life targets.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Define pathways to improve cell/pack design with enhanced performance and lifetime; develop intellectual property for Rivian&rsquo;s battery cell technology.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Review academic literature of lithium-ion cells and beyond, to support advancement of Rivian&rsquo;s battery cell technology.</span></li></ul>","clientName":"Rivian Careers Home","locations":"Tustin, California"},"jdSettings":{"options":{"metadata":{"options":{"enabled":false,"data":[]},"categories":{"enabled":true},"locations":{"enabled":true},"req_id":{"enabled":true},"placement":"top"},"video":{"enabled":false,"placement":"above_description"},"displayFields":{"fieldOrder":["locations","categories"],"fields":[{"item":"locations","token":"JOB_DESCRIPTION.LOCATION","ariaLabel":"JOB_DESCRIPTION.LOCATION_ARIA_LABEL","fieldType":"location"},{"item":"categories","token":"JOB_DESCRIPTION.CATEGORIES","ariaLabel":"JOB_DESCRIPTION.CATEGORIES_ARIA_LABEL","objectArrayKey":"name"}]}}},"sectionOrder":["description"],"getReferredEnabled":false,"addThisDisabled":true,"externalTrackifEnabled":false,"jibeTrackifEnabled":false,"brandName":"careers-home","globalSearchEnabled":false,"jobLangData":[],"referrals":{"enabled":false,"recruit":false},"seoMetaData":{"clientName":"Rivian Careers Home","data":{"slug":"11719","category":[" Mechanical & Electrical Engineering"],"full_location":"Tustin, California","short_location":"Tustin, California","language":"en-us","languages":["en-us"],"client_code":"rivian","req_id":"11719","title":"Staff Battery Cell Engineer, Modeling","description":"<strong>About Rivian</strong><br><br><p style=\\"margin: 0px;\\">Rivian&nbsp;is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.&nbsp;</p><p style=\\"margin: 0px;\\">&nbsp;</p><p style=\\"margin: 0px;\\">As a company, we constantly challenge what&rsquo;s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.&nbsp;</p> <br><strong>Role Summary</strong><br><br><p style=\\"margin: 0px;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times;\\">The role is to develop physics based/semi-empirical/empirical mathematical models to correlate the battery physics to cell level and eventually the pack level performance for various usage conditions. More over, the candidate is expected to apply the understanding of physics to define cell capability limits for fast charging, regen currents, discharge currents etc to support various decisions from cell celection to battery controls algorithm development.</span></p> <br><strong>Responsibilities</strong><br><br><ul><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Develop electrochemical models such as- porous electrode models/reduced order models/equivalent circuit models, to estimate battery electrical and electrochemical response under different usage conditions from the automotive perspective</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Apply physics-based models to develop fast charge profiles, regen current limits, discharge limits at the cell and potentially pack level.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Develop semi-empirical tools based on battery physics which can be used to quickly estimate battery performance, design battery limits for newer cells without detailed datasets.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Develop models to investigate the effects of temperature gradients on current distributions within cells and at the pack level.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Guide experiments to develop optimal test procedures (at cell, module, and pack level) to extract the information to support model calibration and continuously improve model accuracy and to minimize the resource utilization.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Use statistical tools to connect cell level models to pack level incorporating cell-to-cell variations and other pack level effects.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Use physics-based model to guide battery degradation modeling and connecting vehicle usage to battery life/warranty</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Drive the decision for cell selection (chemistry and design) and system design based on the modeling and test results.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Support electrical and thermal controls teams in controls development to meet the battery life targets.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Define pathways to improve cell/pack design with enhanced performance and lifetime; develop intellectual property for Rivian&rsquo;s battery cell technology.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Review academic literature of lithium-ion cells and beyond, to support advancement of Rivian&rsquo;s battery cell technology.</span></li></ul> <br><strong>Qualifications</strong><br><br><ul><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\"> Must have:</span><ul><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">PhD with a focus on battery modeling with Industrial experience (min 2 years) on battery degradation modeling.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Experience of developing porous electrode models for the automotive/energy storage applications, such as developing fast charge protocol is a plus, understanding regen limits etc.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Awareness about Statistical Methods to account for factors such as cell-to-cell variation <em>etc</em>. to connect the cell level models to the pack level models.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Familiarity with important considerations while connecting cell models to pack models.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Strong optimization skills and numerical skills.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Experience in MATLAB/Simulink/COMSOL is necessary.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Excellent communication skills.</span></li></ul></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\"> Preferred:</span><ul><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Experience with data driven models/ machine learning skills is a plus.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Familiarity with battery life model development is a plus.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Experience with MSMD electrochemical-mechanical-thermal models is a plus.</span></li></ul></li></ul> <br><strong>Pay Disclosure</strong><br><br><p style=\\"margin: 0px;\\"><strong>Salary Range Rate for California Based Applicants:</strong><span>&nbsp;</span>$150,000-$173,000 (actual compensation will be determined based on experience, location, and other factors permitted by law).</p><p style=\\"margin: 0px;\\"><strong>Benefits Summary:</strong><span>&nbsp;</span>Rivian provides robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums.&nbsp;</p> <br><strong class=\\"jdheading\\"></strong><br><br><h4><strong>Equal Opportunity</strong></h4><p style=\\"margin: 0px;\\">Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.</p><p style=\\"margin: 0px;\\">&nbsp;</p><p style=\\"margin: 0px;\\">Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at&nbsp;<a href=\\"mailto:candidateaccommodations@rivian.com?subject=Application%20to%20Rivian%20-%20Assistance%20Request\\" target=\\"_blank\\" rel=\\"noopener\\">candidateaccommodations@rivian.com</a>.</p><h4><strong>Candidate Data Privacy</strong></h4><p style=\\"margin: 0px;\\"><span data-contrast=\\"auto\\">Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (&ldquo;Candidate Personal Data&rdquo;). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.</span><span data-ccp-props=\\"{"335551550":6,"335551620":6,"335559739":240}\\">&nbsp;</span></p><p style=\\"margin: 0px;\\">&nbsp;</p><p style=\\"margin: 0px;\\"><span data-contrast=\\"auto\\">Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian&rsquo;s service providers, including providers of background checks, staffing services, and cloud services.</span><span data-ccp-props=\\"{"335551550":6,"335551620":6,"335559739":240}\\">&nbsp;</span></p><p style=\\"margin: 0px;\\">&nbsp;</p><p style=\\"margin: 0px;\\"><span data-contrast=\\"auto\\">Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.&nbsp;</span><span data-ccp-props=\\"{"335551550":6,"335551620":6,"335559739":240}\\">&nbsp;</span></p><p style=\\"margin: 0px;\\">&nbsp;</p><p style=\\"margin: 0px;\\"><strong>Please note that we are currently not accepting applications from third party application services.</strong></p>","location_name":"14192 Franklin (Tustin California)","street_address":"14192 Franklin Avenue","city":"Tustin","state":"California","country":"United States","country_code":"US","postal_code":"92780","location_type":"LAT_LNG","latitude":33.7364,"longitude":-117.8229,"additional_locations":[],"categories":[{"name":"Mechanical & Electrical Engineering"}],"tags1":["Full Time"],"department":"","benefits":[],"employment_type":"FULL_TIME","qualifications":"<ul><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\"> Must have:</span><ul><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">PhD with a focus on battery modeling with Industrial experience (min 2 years) on battery degradation modeling.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Experience of developing porous electrode models for the automotive/energy storage applications, such as developing fast charge protocol is a plus, understanding regen limits etc.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Awareness about Statistical Methods to account for factors such as cell-to-cell variation <em>etc</em>. to connect the cell level models to the pack level models.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Familiarity with important considerations while connecting cell models to pack models.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Strong optimization skills and numerical skills.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Experience in MATLAB/Simulink/COMSOL is necessary.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Excellent communication skills.</span></li></ul></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\"> Preferred:</span><ul><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Experience with data driven models/ machine learning skills is a plus.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Familiarity with battery life model development is a plus.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Experience with MSMD electrochemical-mechanical-thermal models is a plus.</span></li></ul></li></ul>","hiring_organization":"Rivian","hiring_organization_logo":"https://Rivian.icims.com/icims2/servlet/icims2?module=AppInert&action=download&id=51&hashed=-1937123","responsibilities":"<ul><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Develop electrochemical models such as- porous electrode models/reduced order models/equivalent circuit models, to estimate battery electrical and electrochemical response under different usage conditions from the automotive perspective</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Apply physics-based models to develop fast charge profiles, regen current limits, discharge limits at the cell and potentially pack level.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Develop semi-empirical tools based on battery physics which can be used to quickly estimate battery performance, design battery limits for newer cells without detailed datasets.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Develop models to investigate the effects of temperature gradients on current distributions within cells and at the pack level.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Guide experiments to develop optimal test procedures (at cell, module, and pack level) to extract the information to support model calibration and continuously improve model accuracy and to minimize the resource utilization.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Use statistical tools to connect cell level models to pack level incorporating cell-to-cell variations and other pack level effects.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Use physics-based model to guide battery degradation modeling and connecting vehicle usage to battery life/warranty</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Drive the decision for cell selection (chemistry and design) and system design based on the modeling and test results.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Support electrical and thermal controls teams in controls development to meet the battery life targets.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Define pathways to improve cell/pack design with enhanced performance and lifetime; develop intellectual property for Rivian&rsquo;s battery cell technology.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Review academic literature of lithium-ion cells and beyond, to support advancement of Rivian&rsquo;s battery cell technology.</span></li></ul>","posted_date":"2023-06-29T19:09:00+0000","apply_url":"https://us-careers-rivian.icims.com/jobs/11719/login","internal":false,"searchable":true,"active":true,"applyable":true,"li_easy_applyable":true,"ats_code":"icims","hiring_flow_name":"iCIMS ATS Hiring Flow","meta_data":{"openingjobs":{"openingJobId":"000045a246a35397d87d127edf748d15fd3e"},"icims":{"revision_int":10,"uuid":"d6bd8d46-2206-4382-9a16-31a8a30c91d9","primary_posted_site_object":{"datePosted":"2023-06-29T19:09:00+0000","site":"us-careers-rivian","siteId":"efbf127b-fc4b-4b4e-a3dd-73c038922782"},"date_updated":"2023-08-04T01:22:43Z","config_keys":null,"jps_is_public":true},"elasticsearch":{"es_created":false},"ats_job_hash":"36c0c2ab8dd9b58f0f28cd3d252e6d5d","googlejobs":{"jobName":"projects/helpful-passage-853/tenants/cb22eb5b-7e00-0000-0000-007edad744d3/jobs/117397465721643718"},"import_id":"5752537b-9886-44e4-9e68-731ba6cb3ca3","redirectOnApply":true,"questionservice":{"id":"27559739"},"import_source":"ImporterService","client_code":"rivian"},"update_date":"2023-08-04T01:22:58+0000","create_date":"2023-06-29T19:10:12+0000"},"formattedData":{"categories":"Mechanical & Electrical Engineering","location":"Tustin, California","title":"Staff Battery Cell Engineer, Modeling","seo_title":["Mechanical+%26+Electrical+Engineering","Tustin%2C+California","Staff+Battery+Cell+Engineer%2C+Modeling"],"description":"<strong>About Rivian</strong><br><br><p style=\\"margin: 0px;\\">Rivian&nbsp;is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.&nbsp;</p><p style=\\"margin: 0px;\\">&nbsp;</p><p style=\\"margin: 0px;\\">As a company, we constantly challenge what&rsquo;s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.&nbsp;</p> <br><strong>Role Summary</strong><br><br><p style=\\"margin: 0px;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times;\\">The role is to develop physics based/semi-empirical/empirical mathematical models to correlate the battery physics to cell level and eventually the pack level performance for various usage conditions. More over, the candidate is expected to apply the understanding of physics to define cell capability limits for fast charging, regen currents, discharge currents etc to support various decisions from cell celection to battery controls algorithm development.</span></p> <br><strong>Responsibilities</strong><br><br><ul><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Develop electrochemical models such as- porous electrode models/reduced order models/equivalent circuit models, to estimate battery electrical and electrochemical response under different usage conditions from the automotive perspective</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Apply physics-based models to develop fast charge profiles, regen current limits, discharge limits at the cell and potentially pack level.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Develop semi-empirical tools based on battery physics which can be used to quickly estimate battery performance, design battery limits for newer cells without detailed datasets.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Develop models to investigate the effects of temperature gradients on current distributions within cells and at the pack level.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Guide experiments to develop optimal test procedures (at cell, module, and pack level) to extract the information to support model calibration and continuously improve model accuracy and to minimize the resource utilization.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Use statistical tools to connect cell level models to pack level incorporating cell-to-cell variations and other pack level effects.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Use physics-based model to guide battery degradation modeling and connecting vehicle usage to battery life/warranty</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Drive the decision for cell selection (chemistry and design) and system design based on the modeling and test results.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Support electrical and thermal controls teams in controls development to meet the battery life targets.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Define pathways to improve cell/pack design with enhanced performance and lifetime; develop intellectual property for Rivian&rsquo;s battery cell technology.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Review academic literature of lithium-ion cells and beyond, to support advancement of Rivian&rsquo;s battery cell technology.</span></li></ul> <br><strong>Qualifications</strong><br><br><ul><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\"> Must have:</span><ul><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">PhD with a focus on battery modeling with Industrial experience (min 2 years) on battery degradation modeling.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Experience of developing porous electrode models for the automotive/energy storage applications, such as developing fast charge protocol is a plus, understanding regen limits etc.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Awareness about Statistical Methods to account for factors such as cell-to-cell variation <em>etc</em>. to connect the cell level models to the pack level models.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Familiarity with important considerations while connecting cell models to pack models.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Strong optimization skills and numerical skills.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Experience in MATLAB/Simulink/COMSOL is necessary.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Excellent communication skills.</span></li></ul></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\"> Preferred:</span><ul><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Experience with data driven models/ machine learning skills is a plus.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Familiarity with battery life model development is a plus.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Experience with MSMD electrochemical-mechanical-thermal models is a plus.</span></li></ul></li></ul> <br><strong>Pay Disclosure</strong><br><br><p style=\\"margin: 0px;\\"><strong>Salary Range Rate for California Based Applicants:</strong><span>&nbsp;</span>$150,000-$173,000 (actual compensation will be determined based on experience, location, and other factors permitted by law).</p><p style=\\"margin: 0px;\\"><strong>Benefits Summary:</strong><span>&nbsp;</span>Rivian provides robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums.&nbsp;</p> <br><strong class=\\"jdheading\\"></strong><br><br><h4><strong>Equal Opportunity</strong></h4><p style=\\"margin: 0px;\\">Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.</p><p style=\\"margin: 0px;\\">&nbsp;</p><p style=\\"margin: 0px;\\">Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at&nbsp;<a href=\\"mailto:candidateaccommodations@rivian.com?subject=Application%20to%20Rivian%20-%20Assistance%20Request\\" target=\\"_blank\\" rel=\\"noopener\\">candidateaccommodations@rivian.com</a>.</p><h4><strong>Candidate Data Privacy</strong></h4><p style=\\"margin: 0px;\\"><span data-contrast=\\"auto\\">Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (&ldquo;Candidate Personal Data&rdquo;). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.</span><span data-ccp-props=\\"{"335551550":6,"335551620":6,"335559739":240}\\">&nbsp;</span></p><p style=\\"margin: 0px;\\">&nbsp;</p><p style=\\"margin: 0px;\\"><span data-contrast=\\"auto\\">Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian&rsquo;s service providers, including providers of background checks, staffing services, and cloud services.</span><span data-ccp-props=\\"{"335551550":6,"335551620":6,"335559739":240}\\">&nbsp;</span></p><p style=\\"margin: 0px;\\">&nbsp;</p><p style=\\"margin: 0px;\\"><span data-contrast=\\"auto\\">Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.&nbsp;</span><span data-ccp-props=\\"{"335551550":6,"335551620":6,"335559739":240}\\">&nbsp;</span></p><p style=\\"margin: 0px;\\">&nbsp;</p><p style=\\"margin: 0px;\\"><strong>Please note that we are currently not accepting applications from third party application services.</strong></p>","qualifications":"<ul><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\"> Must have:</span><ul><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">PhD with a focus on battery modeling with Industrial experience (min 2 years) on battery degradation modeling.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Experience of developing porous electrode models for the automotive/energy storage applications, such as developing fast charge protocol is a plus, understanding regen limits etc.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Awareness about Statistical Methods to account for factors such as cell-to-cell variation <em>etc</em>. to connect the cell level models to the pack level models.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Familiarity with important considerations while connecting cell models to pack models.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Strong optimization skills and numerical skills.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Experience in MATLAB/Simulink/COMSOL is necessary.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Excellent communication skills.</span></li></ul></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\"> Preferred:</span><ul><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Experience with data driven models/ machine learning skills is a plus.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Familiarity with battery life model development is a plus.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Experience with MSMD electrochemical-mechanical-thermal models is a plus.</span></li></ul></li></ul>","responsibilities":"<ul><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Develop electrochemical models such as- porous electrode models/reduced order models/equivalent circuit models, to estimate battery electrical and electrochemical response under different usage conditions from the automotive perspective</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Apply physics-based models to develop fast charge profiles, regen current limits, discharge limits at the cell and potentially pack level.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Develop semi-empirical tools based on battery physics which can be used to quickly estimate battery performance, design battery limits for newer cells without detailed datasets.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Develop models to investigate the effects of temperature gradients on current distributions within cells and at the pack level.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Guide experiments to develop optimal test procedures (at cell, module, and pack level) to extract the information to support model calibration and continuously improve model accuracy and to minimize the resource utilization.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Use statistical tools to connect cell level models to pack level incorporating cell-to-cell variations and other pack level effects.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Use physics-based model to guide battery degradation modeling and connecting vehicle usage to battery life/warranty</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Drive the decision for cell selection (chemistry and design) and system design based on the modeling and test results.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Support electrical and thermal controls teams in controls development to meet the battery life targets.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Define pathways to improve cell/pack design with enhanced performance and lifetime; develop intellectual property for Rivian&rsquo;s battery cell technology.</span></li><li style=\\"margin-bottom: 0in;\\"><span style=\\"font-size: 10pt; font-family: 'times new roman', times; color: #515357;\\">Review academic literature of lithium-ion cells and beyond, to support advancement of Rivian&rsquo;s battery cell technology.</span></li></ul>","clientName":"Rivian Careers Home","locations":"Tustin, California"}},"isNoIndex":false,"preloginConfiguration":null,"contextSettings":{"contextDefinitions":[{"name":"careers-home","displayName":"Rivian Careers Home","metadata":{"title":"Rivian Careers Home","description":"Rivian Careers Home"}},{"name":"life","displayName":"Rivian Life","metadata":{"title":"Rivian Life","description":"Rivian Life"}},{"name":"work","displayName":"Rivian Work","metadata":{"title":"Rivian Work","description":"Rivian Work"}},{"name":"students","displayName":"Rivian Students","metadata":{"title":"Rivian Students","description":"Rivian Students"}},{"redirectToForm":false,"successCTAButtonEnabled":true,"name":"talent-network","displayName":"Rivian Talent Community Landing Page","urlPath":"/talent-network","overrides":{"talentcommunity.integration.v2":{"enabled":true}},"createdAt":"2023-03-22T14:29:56+0000","creatorId":183525535,"creatorName":"icims-admin@rivian.com","updatedAt":"2023-03-31T18:26:57+0000"}],"defaultContext":"careers-home","currentContext":"careers-home","redirectWithSources":true,"currentClient":"rivian"},"similarJobsEnabled":false,"login":{},"inhouseAlertsEnabled":false}; </script>\n<script> window.jobDescriptionTemplates = {\n  sectionTop: "<!-- FOR BRANDING ELEMENTS TO BE PLACED ABOVE JOB DESCRIPTION BODY -->",\n  sectionBottom: "<!-- FOR BRANDING ELEMENTS TO BE PLACED BELOW JOB DESCRIPTION BODY -->",\n  additionalButton: "<!-- additional button on JD page -->",\n  getReferred: "<a href=\\"undefined\\" class=\\"get-referred cta-button\\">\\n  <span class=\\"fa fa-users\\" aria-hidden=\\"true\\"></span>\\n  Get Referred\\n</a>",\n  rightRailMedia: "",\n};\n</script>\n\n  <script src="https://app.jibecdn.com/prod/descriptions/1.1.44/polyfills-es5.js" nomodule=""></script>\n  <script src="https://app.jibecdn.com/prod/descriptions/1.1.44/polyfills.js"></script>\n  <script src="https://app.jibecdn.com/prod/descriptions/1.1.44/scripts.js"></script>\n  <script src="https://app.jibecdn.com/prod/descriptions/1.1.44/main.js"></script>\n\n\n\n  <script src="https://app.jibecdn.com/prod/social-share/0.0.33/runtime.js"></script>\n  <script src="https://app.jibecdn.com/prod/social-share/0.0.33/polyfills.js"></script>\n  <script src="https://app.jibecdn.com/prod/social-share/0.0.33/polyfills-es5.js" nomodule=""></script>\n  <script src="https://app.jibecdn.com/prod/social-share/0.0.33/vendor.js"></script>\n  <script src="https://app.jibecdn.com/prod/social-share/0.0.33/main.js"></script>\n\n\n\n\n\n\n\n\n<script data-cookieconsent="statistics">\n
    \n

    /**

    \n
      \n
    • @description: send an arbitrary payload to the server-side for later consumption.
    • \n
    • @param {Object} payload - a json payload that contains arbitrary data
    • \n
    • @param {String} payload.event_name - the unique name to associate with the event
    • \n
    • @param {String} payload.slug - the job id to associate with the event
    • \n
    • @param {String} payload.language - the locale to associate with the event\n */\n function sendEvent(payload) {\n// validation check\nif (!(payload || payload.event_name)) {\n console.error('insufficient data for meaningful response.');\n return;\n}
    • \n
    \n
    else {\n\n  // send ajax request to backend for consumption\n  $.ajax({\n    method: 'POST',\n    url: '/api/impression',\n    data: payload,\n    success: function (res) {\n      // console.log('successful ajax call with response: ', res);\n    }\n  });\n}\n
    \n

    }\n\n

    \n
    <!-- Accessibility BEGIN -->\n
    \n\n\n\n
    <script>\n  var referrer = location.protocol + "//" + location.host\n  if (document.referrer.length > 0 && document.referrer.indexOf(referrer) === -1 && !window.sessionStorage.getItem('externalReferrer')) {\n    window.sessionStorage.setItem('externalReferrer', document.referrer);\n  }\n</script>\n\n\n\n\n    \n
    \n

    \n
                <div class="third-party-button-container column-container">\n                <a aria-label="dismiss cookie message" role="button" tabindex="0" class="btn-primary accept-button" id="cookie-consent-accept-button">\n                  Okay\n                </a>\n            </div>\n        </div>\n        <span aria-label="dismiss cookie message" tabindex="0" class="close-button" id="cookie-consent-x">\n            x\n        </span>\n    </div>\n
    \n
    \n\n\n
        <script>\n        window.gdprConfiguration = {"enabled":true,"pixel_consent":{"enabled":true,"cookie_notice":true,"third_party":false,"versionId":"search-consent-1","show_consent":true},"apply_consent":{"enabled":false,"job_specific":true,"versionId":"apply-consent-1"},"ttl":2592000000};\n    </script>\n    <script type="text/javascript"> function defer(method) { if (window.jQuery) { method(); } else { setTimeout(function() { defer(method) }, 50); } } defer(function() { window.$ = jQuery; var head = window.document.querySelectorAll('head')[0], scrp = document.createElement('script'); scrp.setAttribute('type', 'text/javascript'); scrp.src = '/dist/js/gdpr.js?v=4.5.493'; jQuery(function() { window.document.body.appendChild(scrp); }); }); </script>\n
    \n","datePosted":"2023-06-29T20:24:37.888Z","validThrough":"2024-02-02","employmentType":[],"hiringOrganization":{"@type":"Organization","name":"Rivian","description":"Rivian is an American automotive manufacturer that develops and builds category-defining electric vehicles and accessories. We create innovative and technologically advanced products that are designed to excel at work and play with the goal of accelerating the global transition to zero-emission transportation and energy. Rivian provides a full suite of services that address the entire lifecycle of the vehicle and stay true to its mission to keep the world adventurous forever. Whether taking families on new adventures or electrifying fleets at scale, Rivian vehicles all share a common goal — preserving the natural world for generations to come.\n\nCome join the adventure with us at careers.rivian.com. ","numberOfEmployees":11052,"address":[{"address":{"@type":"PostalAddress","addressLocality":"Tustin, CA, USA"}}],"sameAs":"https://rivian.com","url":"https://rivian.com","logo":"https://cdn.getro.com/companies/3490f08b-fa29-5c17-9841-55a0fe457a14","memberOf":{"@type":"Organization","name":"Amazon Climate Pledge","description":"","logo":"https://cdn.filepicker.io/api/file/VovG1DnqQ1OAUJgLCMuW","url":"portfoliojobs.theclimatepledge.com"},"keywords":"Manufacturing, Transportation"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tustin, CA, USA"}}}

    Staff Battery Cell Engineer, Modeling

    Rivian

    Rivian

    Tustin, CA, USA
    Posted on Thursday, June 29, 2023

    Staff Battery Cell Engineer, Modeling

    CAROUSEL_PARAGRAPH

    JOB_DESCRIPTION.SHARE.HTML

    Job Description

    About Rivian

    Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. 

     

    As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. 


    Role Summary

    The role is to develop physics based/semi-empirical/empirical mathematical models to correlate the battery physics to cell level and eventually the pack level performance for various usage conditions. More over, the candidate is expected to apply the understanding of physics to define cell capability limits for fast charging, regen currents, discharge currents etc to support various decisions from cell celection to battery controls algorithm development.


    Responsibilities

    • Develop electrochemical models such as- porous electrode models/reduced order models/equivalent circuit models, to estimate battery electrical and electrochemical response under different usage conditions from the automotive perspective
    • Apply physics-based models to develop fast charge profiles, regen current limits, discharge limits at the cell and potentially pack level.
    • Develop semi-empirical tools based on battery physics which can be used to quickly estimate battery performance, design battery limits for newer cells without detailed datasets.
    • Develop models to investigate the effects of temperature gradients on current distributions within cells and at the pack level.
    • Guide experiments to develop optimal test procedures (at cell, module, and pack level) to extract the information to support model calibration and continuously improve model accuracy and to minimize the resource utilization.
    • Use statistical tools to connect cell level models to pack level incorporating cell-to-cell variations and other pack level effects.
    • Use physics-based model to guide battery degradation modeling and connecting vehicle usage to battery life/warranty
    • Drive the decision for cell selection (chemistry and design) and system design based on the modeling and test results.
    • Support electrical and thermal controls teams in controls development to meet the battery life targets.
    • Define pathways to improve cell/pack design with enhanced performance and lifetime; develop intellectual property for Rivian’s battery cell technology.
    • Review academic literature of lithium-ion cells and beyond, to support advancement of Rivian’s battery cell technology.

    Qualifications

    • Must have:
      • PhD with a focus on battery modeling with Industrial experience (min 2 years) on battery degradation modeling.
      • Experience of developing porous electrode models for the automotive/energy storage applications, such as developing fast charge protocol is a plus, understanding regen limits etc.
      • Awareness about Statistical Methods to account for factors such as cell-to-cell variation etc. to connect the cell level models to the pack level models.
      • Familiarity with important considerations while connecting cell models to pack models.
      • Strong optimization skills and numerical skills.
      • Experience in MATLAB/Simulink/COMSOL is necessary.
      • Excellent communication skills.
    • Preferred:
      • Experience with data driven models/ machine learning skills is a plus.
      • Familiarity with battery life model development is a plus.
      • Experience with MSMD electrochemical-mechanical-thermal models is a plus.

    Pay Disclosure

    Salary Range Rate for California Based Applicants: $150,000-$173,000 (actual compensation will be determined based on experience, location, and other factors permitted by law).

    Benefits Summary: Rivian provides robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums. 




    Equal Opportunity

    Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.

     

    Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com.

    Candidate Data Privacy

    Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. 

     

    Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services. 

     

    Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.  

     

    Please note that we are currently not accepting applications from third party application services.

    Subscribe to learn about our latest news, updates and adventures.