Research Software Engineer - Scientific Computing & GPU Infrastructure

The impact you will make

As part of our multidisciplinary research and engineering team, you will shape how we tackle computational challenges in fusion research. You will combine your software expertise with the team’s knowledge of physics and engineering to develop new approaches, make technical decisions and turn ideas into reliable scientific software. From advancing numerical performance to enabling shared GPU computing on NVIDIA servers or AWS, you will own meaningful technical challenges and contribute directly to our scientific progress.

Your responsibilities

What you bring

• A degree in Computer Science, Physics, Applied Mathematics, Engineering or a related field, or equivalent practical experience.
• Strong Python software engineering skills and a track record of independently delivering maintainable software within an existing codebase.
• 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.
• A structured approach to debugging, version control, automated testing and documentation, with the ability to make pragmatic engineering decisions.
• A self-driven, collaborative working style and 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 a background in optics, photonics or experimental data analysis.
• Experience evaluating AI-based acceleration of scientific workloads against accuracy and runtime benchmarks.

What we offer

Our mission is motivation enough for many. But we also support our team with benefits that foster wellbeing and growth:

• Public Transport Subsidy
  
• Employee Incentive Program
• Phone Bill Reimbursement
• Wellpass or Complimentary Private Health Insurance
• Professional Learning & Development Budget
• Relocation Support
• Company Pension Plan
• 30 Days of Vacation plus additional half day on 24. & 31.Dec.
• Modern Office in the center of Munich
• Healthy office snacks
• Regular Team Events