We build the fastest GPU compiler in the world. Most compilers have to preserve correctness at every transform, constraining how far they can search, while we prove correctness at the end instead, allowing us to search a far wider space, with agents, with RL, with anything that works and still guarantee the result. It’s why we hold #1 on NVIDIA’s own kernel benchmark across hundreds of production kernels.
Speed at the kernel layer is only worth what we do with it though, so we’re hiring a Member of Technical Staff for Product Engineering to own the surface that the engine reaches the world through.
That surface is Model Foundry and it takes a researcher from idea to a running experiment in one commit or one message. When a researcher needs to see the perplexity curve from last night’s run or to try an experiment with a new annealing rate, Foundry writes the config, queues the job on whatever silicon makes sense that week, then stream the logs back and versions the whole thing so it can be reproduced six months later. You’ll own it end to end from the interfaces researchers live in all day to the services behind them, making sure the software doesn’t just work, but the experience feels right and is enjoyable even when using it 16 hours a day for months on end.
The users are close and the loop is short. Foundry is used by both our customers, our internal research team as well as our forward-deployed researchers to train models every hour of the day, so your users either sit next to you or a Slack message away. The data you’re processing is not gentle: you’ll be processing telemetry from thousands of GPUs across NVIDIA, AMD, TPU and Trainium from runs that last for weeks to months parsing logs and charts that don’t stop and making sure all of the data is accessible to user as well as their agents.