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Scientific Computing Intern
CarbonCapture
Posted on Apr 29, 2025
Interested in working with a groundbreaking company that’s focused on decarbonizing the atmosphere? CarbonCapture Inc. develops and deploys direct air capture (DAC) machines that can be connected in large arrays to remove massive amounts of carbon dioxide from the atmosphere. With a patented modular open systems architecture, our DAC platform allows for plug-and-play upgrades, mass production, unlimited scalability, and rapid technology iterations.
We are looking for a motivated and passionate Scientific Computing Intern to join our Systems and Analysis team for the summer. Our software spans the full stack of our company: instrumentation modeling, control logic, data collection, data processing, data analysis, simulation, system modeling, and data visualization. This role is a great opportunity to develop professional software and scientific analysis skills.
As a Software Engineering Intern at CarbonCapture, you will have the opportunity to work with cross-functional groups to build solutions to a variety of technical challenges. The scientific Python ecosystem (pandas, NumPy, and SciPy) is core to our software ecosystem. We develop on and for Linux, containerize with Docker, and use AWS for deployment, data storage, computing, caching, and web app hosting. Your work will directly impact the company's ability to build successful products in which CO2 is removed from the atmosphere and the effects of global warming are mitigated.
Responsibilities
- Develop and improve cloud-based data processing pipelines
- Design and build web-based user interfaces for data analysis
- Model and analyze key system subprocesses
- Collaborate with process and control engineers, materials scientists, and system analysts on data collection and processing
Requirements
- Proficiency with Python, Pandas, and NumPy
- Comfort with the Linux command line
- Comfort with Git
- The ability to flourish in a fluid project environment
- A strong capacity for self-learning new software libraries, tools, and platforms
- The ability to grasp scientific concepts relevant to projects, mainly in the domains of thermodynamics, mechanical engineering, and materials science
- Excellent written and oral communication skills for: design discussions and documentation, product requirements discussions and documentation, and project tracking
Desired Background
- Software development and scientific data analysis skills
- Scientific Python proficiency
- Experience with cloud-based data processing and storage
- Experience building scientific computation/data analysis tools for scientific research/applications
- Front end development experience, or an ability to learn front end development (for example, Dash)
- Experience with or ability to learn Matplotlib and Plotly APIs
- Experience with or ability to learn/collaborate with: SCADA system architecture, Ignition HMI development, PLC development
- Experience with or ability to learn SQL
- Experience with or ability to learn AWS-based system development (e.g. S3, Lambda, Athena)
CarbonCapture Inc. is an equal opportunity employer, making all employment decisions based on merit, qualifications, and abilities. We recruit, hire, train, and promote without regard to race, religious creed, color, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, sex, sexual orientation, gender identity and expression, age, military and veteran status, or any other protected characteristic under federal, state, or local laws.