Who we are

Founded in 2019, Marvel Fusion is Europe’s leading fusion energy company, uniting 75 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

Your responsibilities

In this role, you will: 

• Support the development of internal tools that help scientists and engineers work with experimental data

• Gain hands-on exposure to experimental control systems and support data-related activities during experimental campaigns

• Improve the reliability of data pipelines through debugging, testing, monitoring, and clear documentation

• Contribute to scalable and well-structured data processes that support reproducible scientific work

• Create dashboards, panels, and indicators that make technical systems easier to monitor and understand

What you bring

Must-have:

• Enrolled in Physics, Computer Science, Software Engineering, Data Science, or a related field (3rd year Bachelor's or Master's level)

• Enjoyment of programming and solid basics – or the motivation to build them – in Python, C++, Bash, and Linux

• Basic understanding of databases and how structured data is stored, queried, and organized

• Familiarity with core operating-system and systems-administration concepts

• Clear communication in English and the ability to explain technical problems in a structured way

• A proactive, reliable, and curious mindset – you take ownership and ask good questions

• At least 6 months of remaining student status and availability for 20 hours per week

Nice to have:

• Familiarity with Data Acquisition (DAQ) systems, experimental control, or scientific measurement workflows

• Hands-on experience with electronics, instrumentation, embedded systems, or low-level software

• Experience with Git and collaborative development practices

• Exposure to automation, CI/CD, or infrastructure concepts

• Working knowledge of SQL or interest in data modeling and data-management best practices

For more information on how we process your application data, please review our privacy notice.