Senior Software Engineer: Data Infrastructure
Munich
Stellarator Design /
Full-time /
On-site
WHO WE ARE
At Proxima Fusion, we're driven by a bold mission – to redefine the future of sustainable energy. Our unique concept, built upon the groundbreaking W7-X stellarator and the latest advances in technology, paves the way for commercially viable fusion power plants.
Our work in stellarator optimization, powered by cutting-edge computation and machine learning, is propelling us into uncharted territories of fusion technology. New higher performance design points are unlocked by high temperature superconducting magnets.
We're on a journey to redefine the energy landscape, ensuring a sustainable future for generations to come.
YOUR IMPACT
At Proxima Fusion, you will join a diverse and interdisciplinary team working at the frontier of fusion technology.
As a Senior Software Engineer: Data Infrastructure, you will play a critical role in advancing our ML and data management capabilities to support fusion technology development. Your work will focus on designing and implementing scalable data pipelines, MLOps tooling, and cloud-based training pipelines for large-scale simulations.
This role provides a unique opportunity to work alongside machine learning experts, software engineers, fusion scientists, and fusion engineers, making a tangible impact on the future of clean energy.
WHY JOIN PROXIMA FUSION
- You will get to work on some of the most complex tech challenges to bring abundant, safe, clean energy to the world
- You'll get to join and learn from an exceptional selection of accomplished and driven individuals
- Do your life’s best work and enjoy the journey
- Get to show that big things are possible in Europe when you assemble the best talent
WHAT YOU WILL DO
- Contribute to our ML-related software engineering efforts together with ML researchers, our software infrastructure team, and fusion experts.
- Develop our MLOps tooling, ML model implementations, data analysis, dataset management, data pipelining, cloud-based large-scale simulation, data analysis, and visualization tooling.
- Act as a link between the interdisciplinary team members at Proxima, building systems that empower ML experts, software engineers, and fusion experts.
- Be the first point of contact for software needs in the AI team, defining and ensuring good software practice and directions.
WHO YOU ARE
- We are looking for high performers that love challenges and see these as learning opportunities.
- It is important not to be afraid to experiment, take risks and learn from mistakes. We believe in contentious iterations and getting things done.
- A Master’s degree in computer science, machine learning, physics, mathematics, or equivalent experience.
- 5+ years of experience in building a data infrastructure or in data engineering
- Strong knowledge of Python software development and the PyData ecosystem
- Experience with Pipeline Scheduling systems such as Airflow or Dagster
- Experience with ETL systems such as PySpark and Kubernetes.
- Experience with computation in cloud or HPC environments, scalable training pipelines involving numeric simulations, and distributed computing.
INTERVIEW PROCESS
- Recruiter Interview (30-60 min
- Technical Screening (30 min)
- Technical Panel (3x60 min)
- CEO call (30 min)
Proxima Fusion is firmly committed to fostering an inclusive and diverse work environment. We embrace the principles of equality and stand against discrimination on the basis of age, disability, gender, race, religion or belief, gender reassignment, marriage/civil partnership, pregnancy/maternity, or sexual orientation.
Our organizational culture values and promotes equal opportunities for everyone, recognizing that a diverse team brings a richness of perspectives and contributes to our overall success. We encourage and welcome applications from candidates with various backgrounds, talents, and potential. Our selection process is solely based on individual merit, ensuring fair and impartial consideration for all applicants.
