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Research Software Engineer - Scientific Computing & GPU Infrastructure

Marvel Fusion - Munich, Bavaria, Germany - In-office - posted 2026-10-20

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Marvel Fusion, Europe's leading fusion energy company founded in 2019, is seeking a Research Software Engineer to join its multidisciplinary research and engineering team in Munich. The company is backed by over €385 million in public and private funding and operates across locations in Munich and Colorado with 120 scientists, engineers, and entrepreneurs. In this role, you will shape how the company tackles computational challenges in fusion research, combining software expertise with the team's physics and engineering knowledge to develop new approaches and turn ideas into reliable scientific software. You will own meaningful technical challenges and contribute directly to scientific progress. Key responsibilities include: - Developing and maintaining scientific Python software, turning research requirements into reusable, tested features and clear interfaces - Working with scientists to define acceptance criteria and verify numerical results against reference cases and accuracy requirements - Using profiling to identify bottlenecks and comparing algorithms, code translations, and CPU/GPU implementations through reproducible benchmarks - Preparing and deploying scientific workloads on NVIDIA GPU servers or AWS using reproducible environments and automated execution workflows - Supporting multiple users through appropriate access controls, job scheduling, resource allocation, monitoring, and result storage in collaboration with IT - Connecting computational services to internal applications through stable APIs for job submission, status tracking, and result retrieval - Improving testing, continuous integration, packaging, and documentation, independently carrying agreed development tasks through to delivery The company offers public transport subsidies, employee incentive programs, phone bill reimbursement, private health insurance options, professional learning and development budget, relocation support, company pension plan, 30 days vacation plus additional half days on December 24 and 31, a modern office in central Munich, healthy office snacks, and regular team events. Requirements: - Degree in Computer Science, Physics, Applied Mathematics, Engineering, or related field, or equivalent practical experience - Strong Python software engineering skills and track record of independently delivering maintainable software within existing codebases - Experience with scientific or numerical computing, including testing numerical accuracy and collaborating with domain experts - Practical experience profiling computational workloads and using GPU computing frameworks such as CuPy, PyTorch, JAX, or CUDA - Hands-on experience deploying scientific Python or GPU workloads on remote Linux servers or cloud infrastructure, including reproducible environments, job execution, and data handling - Structured approach to debugging, version control, automated testing, and documentation, with ability to make pragmatic engineering decisions - Self-driven, collaborative working style with excellent written and verbal communication skills in English Nice to have: - Direct experience with AWS GPU services or shared NVIDIA GPU infrastructure, including containers, workload scheduling, or monitoring - Expertise in CUDA, multi-GPU computing, high-performance computing, or performance-portable numerical software - Experience integrating scientific applications with compute services, or background in optics, photonics, or experimental data analysis - Experience evaluating AI-based acceleration of scientific workloads against accuracy and runtime benchmarks

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