Numerical Modeling Engineer

Proxima Fusion
ZurichPosted 26 March 2026

Job Description

Numerical Modeling Engineer WHO WE ARE At Proxima Fusion, we're driven by a bold mission – to redefine the future of sustainable energy. Our unique concept, built upon the groundbreaking W7-X stellarator and the latest advances in technology, paves the way for commercially viable fusion power plants. What’s more, our work in stellarator optimization, powered by cutting-edge computation and machine learning, is propelling us into uncharted territories of fusion technology. New, higher-performance design points are unlocked by high temperature superconducting magnets. To fully grasp this huge opportunity, we’re building a team of extremely dedicated and passionate people who come together driving something extraordinary, radically transforming technology in the world. WHY JOIN PROXIMA FUSION Impact: Your simulations will directly shape the magnets that enable commercial fusion energy. Ownership: As part of a small, highly technical team, you will define modeling standards and influence core design decisions. Frontier Engineering: Work at the intersection of high-field electromagnetics, cryogenics, and advanced numerical methods. Collaboration: Join a team combining deep superconducting expertise with advanced computational capability to solve one of the hardest engineering challenges of our time. YOUR IMPACT At Proxima Fusion, we are designing the first generation of fusion power plants to provide the world with clean, carbon-free energy. The heart of our reactor lies in its superconducting coils. These magnets operate at cryogenic temperatures, generate extreme magnetic fields, and must remain stable under complex electromagnetic and thermal transients. We are looking for a Numerical Modeling Engineer to develop high-fidelity simulation tools that predict and de-risk the behavior of our superconducting magnets. Your work will span electromagnetic, thermal, and transient multiphysics modeling - including quench dynamics - and will directly inform design decisions for conductors, coils, and protection systems. This role is not about running black-box simulations. It is about building robust numerical frameworks - combining commercial multiphysics tools with in-house developed models - to enable fast, reliable, physics-driven engineering decisions. WHAT YOU WILL DO Your work will combine physics modeling, numerical implementation, and close collaboration with magnet designers and experimental teams. You will contribute across three primary domains: 1. ELECTROMAGNETIC & THERMAL MULTIPHYSICS MODELING You will develop predictive models of superconducting magnet behavior across steady-state and transient regimes. - Electromagnetic Simulation: Model high-field magnet systems including current distribution, inductance, AC losses, and nonlinear material behavior. - Thermal Modeling: Simulate heat generation, conduction, and cryogenic cooling performance under operational and fault conditions. - Multiphysics Coupling: Develop coupled EM-thermal models to capture transient events such as current redistribution and localized heating. - Quench Modeling: Implement and validate numerical frameworks to simulate quench initiation, propagation, and protection strategies. - Model Validation: Correlate simulations with experimental data from conductor and coil tests to continuously refine predictive capability. 2. IN-HOUSE TOOL DEVELOPMENT & NUMERICAL INFRASTRUCTURE Beyond commercial software, you will help build Proxima’s internal modeling backbone. - Custom Solvers & Reduced-Order Models: Develop fast, scalable modeling tools for system-level studies and design iteration. - Automation & Parametric Studies: Build robust pipelines for design sweeps, optimization, and uncertainty quantification. - Code Development: Contribute to internal Python- or C++-based frameworks for magnet modeling and data post-processing. - Verification & Benchmarking: Establish numerical best practices, validation procedures, and cross-compariso ... (truncated, view full listing at source)
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