Hephaestus Technologies
Research Software Engineer (Physics and AI)
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About us
Hephaestus Technologies is a London-based startup using machine learning and computational physics to discover new superconducting materials for the wires that will power fusion reactors. Our work sits at the intersection of condensed matter physics, materials simulation and deep learning. We're a small, technical team where your work directly shapes what we build and discover.
The role
You'll build and improve the simulation and ML tooling at the core of our materials discovery pipeline. You'll work closely with our theorists and experimentalists, turning physical insight into robust, scalable code and models.
What you'll do
- Develop, optimise, and maintain physics simulation code for materials modelling
- Build and train deep learning models for materials screening
- Integrate simulation and ML workflows into a reliable, reproducible research pipeline
- Collaborate with theory and experimental colleagues to prioritise and validate candidate materials
- Contribute to research direction and help keep our engineering standards high
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What we're looking for
- A late-stage PhD from a leading university, ideally in physics/chemistry, or equivalent experience
- Experience in research software engineering, computational physics or a related role
- A demonstrable track record of developing physics simulations
- Exposure to condensed matter physics and machine-learned interatomic potentials
- A solid grasp of deep learning, with hands-on experience building and training models (e.g. PyTorch or JAX)
- Strong Python skills and good software engineering practice
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Nice to have
- Experience with density functional theory (DFT) or related electronic structure methods
- Knowledge of superconductivity or superconducting materials
What we offer
- Strong compensation and flexibility to work hybrid or remote
- Generous stock options
- 25 days of annual leave
- The chance to work on a hard, important problem with a direct line to fusion energy
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