Careers
Build the foundation model for hardware engineering
Join a tight-knit team in Zurich working at the intersection of deep learning, numerical physics and large-scale distributed systems.
Engineers worldwide who could benefit from simulation in product design.
Use it in their design process today: about 750,000 engineers.
Simulation software market in 2024, still built on solvers that take hours or days per run.
The market is projected to grow 10.4% a year.
Sources: Siemens, Engineering simulation part 2 (2023); MarketsandMarkets, Simulation Software Market (2024).
About Fainite
Everything humans build is driven by simulation: the shape of a turbine blade, the structure of a chassis, the cooling path through a battery pack. And simulation is still painfully slow: millions of engineers wait hours or days for a single run, forcing them to explore just a few designs when the best one may lie in the thousands they never reach. Replacing simulation with direct prediction is one of the great unsolved problems in AI.
Our answer is a foundation model for hardware engineering: a large-scale Physics AI model that turns simulation into inference, collapsing hours into minutes. One model across the full lifecycle of a physical product, from design through engineering to manufacturing. The ambition is simple: become the AI infrastructure underneath how the world builds hardware.
We're a tight-knit team in Zurich, with engineers from Caltech, Google, CERN and ETH. Ideas go from whiteboard to training run in a day, and everyone touches everything.
Open positions
Don't see a role that fits? We still want to hear from exceptional people: careers@fainite.com