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 and we're leveraging this technology with advanced computational design capabilities.
We're on a journey to redefine the energy landscape, ensuring a sustainable future for generations to come.
At Proxima Fusion, you will join a diverse and interdisciplinary team working at the frontier of fusion technology. As a Data Engineer, 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.
If you have:A Master’s degree in computer science, machine learning, physics, mathematics, or equivalent experience;At least 2 years professional experience with data-driven software and data infrastructure design, scalable applications, and scientific simulation software;Strong knowledge of Python, the PyData ecosystem, and MLOps tooling, as well as good familiarity with ML Frameworks such as PyTorch, Tensorflow, or Jax;Experience with Pipeline Scheduling systems such as Airflow or Dagster, as well as ETL systems such as PySpark and Kubernetes;Experience with computation in cloud or HPC environments, scalable training pipelines involving numeric simulations, and distributed computing;You will help us: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.In return, you will get:Fulfilling Mission: Embark on a mission-driven journey at the forefront of fusion R&D, contributing to the development of groundbreaking energy solutions.Celebrating Success: Experience recognition with VSOPs, adding an extra touch of appreciation for your valuable contributions. Join us at Proxima Fusion and thrive in a supportive and rewarding environment!Work-Life Harmony: Enjoy a generous 30 vacation days, prioritising your well-being and creating a healthy work-life balance.Continuous Learning: Access language classes budget, fostering your personal development and expanding your skill set.Convenient Commuting: Receive a Deutschland ticket, ensuring stress-free and sustainable travel to and from work.Joyful Work Atmosphere: Indulge in delightful company cake and coffee during social hours, fostering a vibrant and enjoyable workplace. Join us at Proxima Fusion and thrive in a supportive and rewarding environment!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.
