Scientific Software Engineer | GPU | Physics AI | PyTorch / JAX
London
Love writing fast code for hard physics problems? This is the one.
Why consider this role?
- Build GPU-native simulation software from scratch, not maintain legacy code
- Train Physics AI models on data from your own simulations
- Founding equity, so you actually own a piece of what you build
- Work directly with the founders and shape the whole architecture
- Work with their customers in the aerospace and automotive sectors
- Backing to publish your work
This is a VC-backed deep tech business in London, building a full Physics AI platform for engineering.
Their software runs physics simulations on GPUs, then trains AI models on the results so engineers get answers in seconds instead of hours.
You don’t need to be a CFD specialist. They want great scientific software engineers and Physics AI people who love the maths behind it.
One week it’s speeding up GPU code, the next it’s training a neural operator, the next it’s improving the solver.
You’ll ideally have:
- A PhD in a computational subject (or the industry equivalent)
- Built scientific or simulation software yourself, not just used it
- PyTorch or JAX experience, ideally on physics or simulation data
- Comfortable with the maths (PDEs, numerical methods, linear algebra)
- Properly strong coding skills
Bonus if you’ve worked with neural operators, PINNs or differentiable simulation, or contributed to open-source scientific code.
If you’d rather build the simulation engine than run it, you’ll love this.
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