Research Software Engineer - Scientific Computing & GPU Infrastructure

Location: Munich, Germany; modern office in central Munich

Company

hirify.global is a fusion energy startup founded in 2019, bringing together scientists, engineers, and entrepreneurs to develop clean and abundant energy through fusion research.

What you will do

• Develop and maintain scientific Python software with reusable, tested features and clear interfaces.
• Collaborate with scientists to define acceptance criteria and verify numerical results against reference cases and accuracy requirements.
• Profile computational workloads, identify bottlenecks, and compare algorithms, code translations, and CPU/GPU implementations through reproducible benchmarks.
• Prepare and deploy scientific workloads on NVIDIA GPU servers or AWS using reproducible environments and automated execution workflows.
• Support shared computing with access controls, job scheduling, resource allocation, monitoring, and result storage.
• Connect computational services to internal applications through stable APIs and improve testing, continuous integration, packaging, and documentation.

Requirements

• 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.
• Self-driven and collaborative working style with excellent written and verbal communication skills in English.

Nice to have

• 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.

Culture & Benefits

• Purpose-driven work on fusion energy and clean, safe, abundant energy.
• Collaboration with scientists and entrepreneurs in fusion research within a growing startup.
• Public transport subsidy, phone bill reimbursement, and an employee incentive program.
• Wellpass or complimentary private health insurance, company pension plan, and professional learning and development budget.
• Relocation support, 30 days of vacation, and an additional half day on December 24 and 31.
• Modern central Munich office, healthy snacks, and regular team events.