What you'll do:
- Rapidly learn and improve complex physics-based models and simulations from first principles optics and physics
- Enhance quench detection algorithm performance (i.e. reduce quench detection false positive and false negative rates), by applying image and signal processing techniques to time-series spectral data
- Collaborate with cross-functional teams, including the physics, production, and SPARC Software (real-time controls) teams, to identify and execute on key data and algorithm needs
- Clearly communicate technical results and project progress
- Develop, implement, and maintain CI/CD pipelines to streamline development processes, ensure code reliability, and reduce operational overhead
What we’re looking for:
- Bachelor’s degree in a technical field preferred
- Programming language: Python, including type hinting and object-oriented features.
- Basic understanding of numerical methods, linear algebra, and differential equations.
- Understand the basics of the project’s physics aspects (e.g., undergrad-level electromagnetics and optics)
- Data analysis using pandas, numpy, matplotlib, or other similar Python packages
- Experience with at least one of the following: signal processing, machine learning, and data analytic tools
Bonus points for:
- Programming languages: C++, Rust, or experience with low-level performance and memory management
- Concurrency and parallelization
- Demonstrated experience building a simulation framework that uses physics-based modeling
Must-have Requirements:
- Perform activities such as typing or sitting for extended periods of time
- Dedication to safety to mitigate industrial hazards that may include heat, cold, noise, fumes, strong magnets, lead (Pb), high voltage, and cryogenics
- Willingness to travel or work required nights/weekends/on-call occasionally
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What We Do
Commonwealth Fusion Systems (CFS) has the fastest, lowest cost path to commercial fusion energy. CFS is collaborating with MIT to leverage decades of research combined with new groundbreaking high-temperature superconducting (HTS) magnet technology. HTS magnets will enable compact fusion power plants that can be constructed faster and at lower cost. CFS is now building SPARC, the world's first commercially relevant, net energy fusion demonstration device. SPARC will pave the way for the first fusion power plant, ARC, that will produce power on the grid. The ultimate mission is to deploy fusion power plants to meet global decarbonization goals as fast as possible. CFS has assembled a team of leaders in tough tech, fusion science, and manufacturing with a track record of rapid execution. Supported by the world’s leading investors, CFS is uniquely positioned to deliver limitless, clean, fusion power to combat climate change. If you are interested in joining our team, check out cfs.energy/careers for more information.
