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About Commonwealth Fusion Systems:
Commonwealth Fusion Systems is on a mission to deliver the urgent transition to fusion energy.
Combining decades of research, top talent, and new technologies, we’re designing and building commercially viable fusion power plants. And we're working with policymakers, suppliers, and many others to build the energy industry of the future.
We’re in the best position to make it happen. Since 2018, we’ve raised $4 billion of capital, making us the largest and leading fusion company in the world.
Now we’re looking for more thinkers, doers, builders, and makers to join us. People who’ll bring new perspectives, solve tough problems, and thrive as part of a team.
If that’s you and this role fits, we want to hear from you.
Join the power movement as a Senior R&D Electromagnetic Analysis Engineer
The R&D team’s mission at CFS is to vet potential technical solutions in order to guide the overall SPARC subsystem design, and plan for the technology needs of future fusion power plants and spin-off projects. The Electromagnetics Analysis Engineer within the R&D team will perform electromagnetic (EM) analysis of superconducting magnets using finite element and other methods. This analysis includes the non-linear, anisotropic behavior of high-temperature superconductors (HTS) in both insulated and non-insulated magnet systems. Incorporating complex multi-physics (heat transfer, fluids, mechanics, etc) system behavior into simplified, elegant network circuit and/or FEA models are also crucial to modelling the multi-physics behavior of superconducting magnets. The Electromagnetics Analysis Engineer will also work with a team of experimentalists and engineers to validate simulations against experimental data. Familiarity with both commercial finite element analysis software packages and developing custom in-house code in python and extensions of commercial packages is necessary.
This work is conducted within a multi-disciplinary team of physicists and engineers. Participation and clear, concise communication in design and test activities is necessary to both inform design decisions and correlate models to experiment.
Employment type
Full-time
Work arrangement
No
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