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© All Rights Reserved. ApplyBlast.com
SF Tensor
The role involves hand‑writing and optimizing GPU kernels for pre‑training, post‑training, and inference across multiple hardware platforms, profiling at the microarchitectural level, and translating insights into compiler search spaces. The engineer will work closely with formal correctness teams and build performance models and tooling to enable high‑performance compute for AI workloads.
SF Tensor is an AI model training company that provides an optimized, cross-vendor training stack for enterprise post-training and frontier pre-training. They offer custom kernel optimization, multi-hardware support (NVIDIA, AMD, TPU, Trainium), and embedded research teams to help AI labs and enterprises build proprietary models at scale. Their Model Foundry service is priced around training outcomes, charging only a share of compute savings.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for SF Tensor.