# Member of Technical Staff, GPU Compiler at SF Tensor

- Company: SF Tensor
- What the company does: Train the models only you can build. SF Tensor provides one optimized, cross-vendor training stack for enterprise post-training and frontier pre-training. Backed by Y Combinator.
- Company website: https://sf-tensor.com
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco
- Work setup: On-site
- Pay: $285K to $315K base salary per year (USD)
- Posted: 2026-08-29
- Apply by: 2026-10-13
- Apply: https://jobs.ashbyhq.com/sf-tensor/460aa0d5-6547-4c46-a024-db183e4d2454
- Page: https://www.1752.vc/careers/jobs/sf-tensor-member-of-technical-staff-gpu-compiler/

## About the role

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.

## What they're looking for

- Someone with deep experience in compiler infrastructure (LLVM, MLIR or similar)
- Someone with a strong background in GPU architecture and low-level optimization (CUDA, ROCm or similar)
- Someone with hands-on experience with at least one of: PTX/SASS, GCN/RDNA assembly or other GPU ISAs
- Someone familiar with ML compiler stacks (XLA, TVM, Triton, torch.compiler or similar)
- Someone with solid systems programming skills in C++ and/or Rust
- Someone with a proven track record of building production-grade compiler infrastructure

Tags: Kernels