--- title: 'Research Software Engineer - Scientific Computing & GPU Infrastructure at Marvel Fusion' canonical: 'https://feeny.ai/job/research-software-engineer-scientific-computing-gpu-infrastructure-marvel-xat03va9yyk3' type: 'job' last_seen: '2026-11-05' --- # Research Software Engineer - Scientific Computing & GPU Infrastructure at Marvel Fusion - **Company:** Marvel Fusion - **Location:** Munich, Germany - **Posted:** 2026-10-20 - **Last confirmed live:** 2026-11-05 - **Apply:** https://job-boards.eu.greenhouse.io/marvelfusion/jobs/5001929101 ## Job description ## Who we are Founded in 2019, Marvel Fusion is Europe’s leading fusion energy company, uniting 120 scientists, engineers, and entrepreneurs across our locations in Munich and Colorado. Backed by over €385 million in public and private funding, we’re driven by a shared mission: to deliver clean, abundant energy to the world. ## Why Marvel Fusion By joining us, you will be: - Solving one of the most complex technological challenges known to humanity, harnessing Fusion on Earth - Part of a highly purpose-driven team working on providing the world with clean, safe and abundant energy - Working alongside world-leading scientists and entrepreneurs in the field of Fusion - Part of a start-up where growth on a company and individual level is the default 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 - Develop and maintain scientific Python software, turning research requirements into reusable, tested features and clear interfaces. - Work with scientists to define acceptance criteria and verify numerical results against reference cases and agreed accuracy requirements. - Use profiling to identify bottlenecks; 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. - Work with IT to support multiple users through appropriate access controls, job scheduling, resource allocation, monitoring and result storage. - Connect computational services to internal applications through stable APIs for job submission, status tracking and result retrieval. - Improve testing, continuous integration, packaging and documentation, and independently carry agreed development tasks through to delivery. ## 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 For more information on how we process your application data, please review our [privacy notice](https://www.marvelfusion.com/applicants). ## About Marvel Fusion ## Core Business - **Primary industry**: Electric Power Generation / Fusion Energy - **Target customers**: B2B – utilities, grid operators, and industrial energy consumers - **Mission**: “Enable humankind to access clean, safe & reliable energy by developing a laser-driven fusion power plant” ## Products & Services - **Laser-Driven Fusion Power Plant**: An advanced inertial fusion energy concept combining a proprietary fast ignitor with innovations in laser technology, target design, and energy extraction. The approach builds on the validated physics demonstrated at the National Ignition Facility in 2022 and aims to eliminate the need for tritium through alternative fuel cycles. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Total funding exceeds **USD 400 million** (public + private) per the company website; LinkedIn reports **USD 187.2 million** in tracked funding rounds – the difference likely reflects additional public grants and undisclosed investments. - **Notable Investors/Partners**: EQT Ventures, Siemens Energy, European Innovation Council (EIC) Fund, Tengelmann Ventures, and a network of leading industrial suppliers. - **Growth Signals**: - Headcount of **81 employees** (42.9% YoY growth) - Inauguration of new experimental chamber “LION 2” at CALA in Garching, Munich (July 2025) - Awarded U.S. DOE grant to advance laser fusion (September 2025) - Public-private partnership with Colorado State University and infrastructure program in Fort Collins, Colorado - Selected for EIC STEP Scale Up Program with potential investment up to EUR 30 million ## Competitive Advantages - **Validated physics**: Approach is based on the fusion ignition gain demonstrated at the National Ignition Facility (2022), reducing technical risk. - **Proprietary fast ignitor concept** that could lower costs and increase efficiency compared to other inertial fusion designs. - **Alternative fuel cycles**: Potential to operate without tritium, simplifying fuel supply and waste management. - **Strong industrial partnerships**: Strategic collaboration with Siemens Energy and deep ties to European and U.S. supply chains. ## Strategic Focus - Scaling laser-driven fusion toward commercial deployment by advancing laser optics (FusioTile project), target manufacturing, and power plant engineering. - Expanding U.S. operations: appointment of Puja Gupta as EVP to lead U.S. activities and a major infrastructure hub in Fort Collins, Colorado. - Securing additional public and private funding to bridge from demonstration to pilot plant. ## Why Work Here - **Culture**: Values include ownership, empowerment, clarity & trust, diversity of thought, and collaboration. Decisions happen close to the work, and transparency is emphasized. - **Work model**: Hybrid – offices in Munich (Germany) and Fort Collins, Colorado (U.S.). Some roles may be on-site due to lab and experimental work. - **Engineering focus**: Opportunities across experimental physics, laser science, controls, IT infrastructure, and data engineering. Active job postings: 11 (as of mid-2026). - **Perks**: Not publicly detailed, but the company emphasizes impact – working on a breakthrough energy technology with a mission-driven team. - **Employee sentiment**: LinkedIn rating 3.0/5.0 (7 reviews) with lower scores in compensation (2.3) and career (2.1), but higher in work-life balance (3.4). Small sample size. ## Sources 1. [Marvel Fusion Website](https://marvelfusion.com/) 2. [Marvel Fusion LinkedIn](https://www.linkedin.com/company/marvelfusion/) 3. [CB Insights](https://www.cbinsights.com/company/marvel-fusion) 4. [Marvel Fusion Greenhouse Jobs](https://job-boards.eu.greenhouse.io/marvelfusion) 5. [Marvel Fusion Newsroom](https://www.marvelfusion.com/newsroom) ## Other roles at Marvel Fusion - [R&D Mechanical Engineer](https://feeny.ai/job/r-d-mechanical-engineer-marvel-fusion-munich-f3hvp7atsmzr) — Munich, Germany - [Mechanical Engineer – Diagnostics](https://feeny.ai/job/mechanical-engineer-diagnostics-marvel-fusion-munich-h1jxf3nn3znb) — Munich, Germany - [Senior Optomechanical Engineer – Laser Beam Transport & Vacuum Systems](https://feeny.ai/job/senior-optomechanical-engineer-laser-beam-transport-vacuum-systems-marvel-pvtkjeyk127y) — Munich, Germany - [Intern/Working Student Procurement & Logistics](https://feeny.ai/job/intern-working-student-procurement-logistics-marvel-fusion-munich-4bmc20t0c4zf) — Munich, Germany - [Internship - AI Venture Development (f/m/x)](https://feeny.ai/job/internship-ai-venture-development-f-m-x-marvel-fusion-munich-5pw5pnbxzv2g) — Munich, Germany - [Internship – Venture Development (f/m/x)](https://feeny.ai/job/internship-venture-development-f-m-x-marvel-fusion-munich-bzy951ftz64e) — Munich, Germany - [Senior Target Assembly Specialist](https://feeny.ai/job/senior-target-assembly-specialist-marvel-fusion-munich-ep1jykt323w2) — Munich, Germany - [Senior Fuel Scientist](https://feeny.ai/job/senior-fuel-scientist-marvel-fusion-munich-1nd3fw8b2khx) — Munich, Germany - [Mechanical Engineer (f/m/x)](https://feeny.ai/job/mechanical-engineer-f-m-x-marvel-fusion-fort-collins-9djryafkbb4m) — Fort Collins, CO - [Internship - Legal Trainee / Research Associate (f/m/x)](https://feeny.ai/job/internship-legal-trainee-research-associate-f-m-x-marvel-fusion-munich-6xnbvrrdfd2q) — Munich, Germany