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.
We’re hiring a Member of Technical Staff for GPU Compiler Engineering to build the machine that does the searching.
You’ll be working on the entire pipeline end to end (StableHLO ingestion, MLIR dialects & passes, backend code generation, executable GPU & host binaries). The pipeline already does things worth seeing. Given only a naive attention spec, the search found FlashAttention v4-level performance on a B300 in about 25 minutes and your job will be to make sure that next time, we beat FlashAttention with ease.
You’ll have access to better tooling than anywhere else because we own the stack all the way down to the ISA, allowing us to create kernels that others can’t even express. For example, our custom LLVM backend emits cubins directly, without ptxas, letting us work on instruction selection, scheduling, register allocation and stall counts. Our team understands the hardware better than anyone else, to this extent we’ve built a bit-exact software model of Blackwell’s tcgen05.
You’ll be writing kernels that ship immediately on runs such as pre-training AlphaFold v3 at 3.4× the throughput, post-training robotics models on Trainium or running our custom RL rollout engine on TPU at multi-100B parameter scale.