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

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 collaborate with 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, working closely with ML researchers, our software infrastructure team, and fusion experts.

Develop MLOps tooling, ML model implementations, data analysis, dataset management, data pipelines, cloud-based large-scale simulations, and visualization tooling.

Act as a bridge between interdisciplinary team members, building systems that empower ML experts, software engineers, and fusion scientists.

Serve as the first point of contact for software needs within the AI team, defining and ensuring best practices in software development.

WHO YOU ARE

We are looking for high performers who 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 continuous iterations and getting things done.

Hold a Master’s degree in computer science, machine learning, physics, mathematics, or equivalent experience.

Strong experience in building a data infrastructure or in data engineering

Possess strong knowledge of Python software development and the PyData ecosystem.

Have experience with pipeline scheduling systems such as Airflow or Dagster.

Are proficient in ETL systems such as PySpark and Kubernetes.

Have experience with computation in cloud or HPC environments, scalable training pipelines involving numerical simulations, and distributed computing.

INTERVIEW PROCESS

Recruiter Interview (30-60 min)

Technical Screening (30 min)

Technical Panel (3x60 min)

CSO call (30min)

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.

Jobs at Proximafusion

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