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Software Engineer - Simulation Platform

Proxima Fusion GmbH · Munich

Publicada em 19/09/2026

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WHO WE ARE Proxima Fusion is Europe’s fastest-growing fusion company and the continent’s best-funded fusion player, as well as the first spin-out from the Max Planck Institute for Plasma Physics (IPP). Backed by over €650M and powered by a growing team across Munich, Zurich, and Oxford, we are developing the hardware and infrastructure needed to deliver the world’s first commercial stellarator fusion power plant.Our concept advances the most mature fusion technology out there, the Wendelstein 7-X stellarator, through two next-generation machines: Alpha and Stellaris. Our work combines stellarator optimization, advanced computation, machine learning, and high-temperature superconducting magnets to unlock higher-performance designs that were previously out of reach.Turning these designs into a functioning fusion power plant requires excellence and ownership across every discipline, from physics and engineering to software, manufacturing, law, and business functions.WHY JOIN PROXIMA FUSIONYou will get to work on some of the most complex tech challenges to bring abundant, safe, clean energy to the world.You'll get to join and learn from an exceptional selection of accomplished and driven individuals.Do your life’s best work and enjoy the journey.Get to show that big things are possible in Europe when you assemble the best talent.YOUR IMPACTShape the future of Proxima’s simulation platform: imagine and build with us novel solutions for simulation tools that spark joy and reduce time-to-insightAccelerate Stellarator R&D, at the company at its forefront: we work side by side with researchers and engineers; innovation in simulation tools immediately boosts Proxima Fusion’s Stellarator design programWHAT YOU WILL DOAs a platform engineer, you will design, develop and maintain next-generation software solutions for stellarator simulation and design, targeted to human and agentic use: our team manages the full platform from automation of large-scale simulation workflows, t
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