# Member of Technical Staff, Sandbox Infrastructure 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: $275K to $315K base salary per year (USD)
- Posted: 2026-08-29
- Apply by: 2026-10-13
- Apply: https://jobs.ashbyhq.com/sf-tensor/7768fa39-742a-41dc-b329-edf75cdcd168
- Page: https://www.1752.vc/careers/jobs/sf-tensor-member-of-technical-staff-sandbox-infrastructure/

## 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 strong low-level systems engineering background: Linux kernel internals, containers, namespaces, cgroups, syscall interception or hypervisors
- Someone with experience in GPU systems engineering: drivers, runtimes or scheduling on accelerator fleets
- Someone comfortable with distributed systems failure modes: preemption, partial failure, checkpoint/restore and dealing with states you can't afford to loose
- Someone proficient in Go, C/C++ or Rust
- Someone with a strong bias toward building the thing yourself when no vendor supports what you need

Tags: Infrastructure