Computational Engineer

Fusion Energy Base; München; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Proxima Fusion in Munich seeks a Computational Engineer to shape the architecture of the world’s first commercial fusion power plant. You will own software that defines stellarator geometry, automate multi-physics analysis, and push the boundaries of what can be designed.

You will work at the intersection of mathematics, software, and mechanical engineering, coordinating with plasma physicists and engineers to deliver practical, scalable solutions.

Qualifikationen

• Strong fundamentals in mathematics and engineering.
• Experience solving engineering or scientific problems in Python.
• Ability to communicate across disciplines.
• Familiarity with computational geometry or CAD‑as‑code is valuable.
• Experience with automatic differentiation is a plus.

Aufgaben

• Define stellarators in code and create parametric representations of reactor components (plasma-facing walls to superconducting cables).
• Automate engineering analysis from parametric description to CAD (CadQuery) to mesh (Gmsh) to simulation to post-processing in the cloud.
• Architect integrated systems to understand trade-offs across sub-systems.
• Make designs differentiable using gradient-based methods (JAX).
• Implement algorithms for our custom 3D geometries (e.g. signed distance functions, kd-tree queries).
• Collaborate with mechanical engineers and simulation specialists to unlock their work.

Kenntnisse

Python programming

Mathematics

Engineering problems

Git

Cross-disciplinary communication

Tools

CadQuery

Gmsh

JAX

Jobbeschreibung

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.

TEAM & ROLE

Shape the architecture of the world’s first commercial fusion power plant – Own system-level decisions that determine how a first-of-a-kind energy technology is designed, integrated, and ultimately deployed at scale.

Solve some of the most complex engineering challenges in industry – Work across tightly coupled disciplines (plasma physics, magnets, cryogenics, manufacturing, controls, and more) to resolve critical trade-offs and turn cutting-edge science into a functioning product.

Build real hardware with a pragmatic, fast-moving team from all over the world – Combine advanced simulation and systems thinking with a strong execution mindset, focusing on practical engineering solutions that accelerate the path to commercial fusion energy.

WHY JOIN PROXIMA FUSION

You 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 IMPACT

Our approach to stellarator design is rooted in parametric design defined in code, differentiable models, and fully automated analysis pipelines. It is a departure from how complex machines have historically been engineered. As a Computational Engineer, you will be a key contributor to this approach. You will own the software that defines stellarator geometry, automates multi-physics analysis, and makes complex 3D shapes optimisable. You will use your combined understanding of engineering and computation to push the boundaries of what can be designed. You will develop new geometric representations, formulate optimisation problems, and find solutions to engineering challenges that don\'t have textbook answers. Sitting at the intersection of mathematics, software, and mechanical engineering, you will have direct influence over the design of the machine itself.

WHAT YOU WILL DO

• Define stellarators in code. Create parametric representations of reactor components; covering everything from plasma-facing walls to superconducting cables.
• Automate engineering analysis. Own the code path from parametric description to CAD (e.g. CadQuery) to mesh (e.g. Gmsh) to simulation to post-processing, all running in the cloud.
• Architect integrated systems. Use your ability to develop and leverage powerful computational tools to understand the trade-offs across sub-systems.
• Make designs differentiable. Build JAX-based geometric and physics models so that you can optimise quantities like coil clearances, structural loads, and manufacturing constraints with gradient-based methods.
• Implement algorithms for our custom 3D geometries (e.g. signed distance functions, kd-tree spatial queries, adaptive sampling, and collision detection).
• Work across teams and disciplines. Collaborate directly with other mechanical engineers and simulation specialists to understand how your work can unlock them.

WHO YOU ARE

• Strong fundamentals in mathematics and engineering: linear algebra, geometry, numerical methods, mechanics.
• Experience solving engineering or scientific problems in Python. Comfort with Git and an appreciation for well-tested, well-typed code.
• The ability to communicate across disciplines. You\'ll work daily with plasma physicists, mechanical engineers, and software engineers, translating between domains is a core part of the job.
• Curiosity and a bias toward action. We value people from all backgrounds who are motivated by hard technical problems and want to see their work have real impact.
• Familiarity with computational geometry, CAD-as-code, or parametric modelling. Experience with B-splines/NURBS, Fourier representations, mesh generation, or finite element methods is valuable but not required.
• Exposure to automatic differentiation (JAX, PyTorch, or similar), or a genuine interest in learning. We define geometry entirely in code and differentiability is central to how we optimise.
• Demonstrated problem solving ability and learning velocity.

INTERVIEW PROCESS

• Recruiter Interview (30-60 min)
• Technical Screening (30 min)
• Case Study & Review
• Technical Panel (2x60 min)