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© All Rights Reserved. ApplyBlast.com
SF Tensor
The role involves hand‑optimizing GPU kernels for machine‑learning workloads, profiling at the microarchitectural level, and translating those insights into automated compiler optimization passes. The engineer will also develop performance models, build systematic optimization tools, and collaborate with hardware vendors and the compiler team.
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.