SF Tensor

SF Tensor is building the future of high-performance compute for AI by optimizing the entire stack, from hardware to cloud. They are developing a Kernel Optimizer for faster, cheaper, and more accessible compute, and a Model Foundry to manage experiments and move workloads across clouds and chips. This role focuses on the modeling side of their enterprise offering, which aims to turn customer datasets into specialist models in days. The infrastructure is designed to accelerate research and model training, enabling rapid experimentation and deployment.

$275k - $315k

SF Tensor is revolutionizing high-performance compute for AI by rebuilding the entire stack, from hardware to cloud. We are developing a Kernel Optimizer that automatically finds the fastest code for any vendor or cluster topology, and a Model Foundry to manage runs, simplify research, and enable workload portability across clouds and chips. Our mission is to eliminate the compute tax, making AI development faster, cheaper, and more accessible. We are backed by prominent investors and industry leaders, and we seek individuals who believe that advancements in AI are contingent on leaps in compute infrastructure.

$275k - $315k

SF Tensor is building the future of high-performance compute for AI by rethinking and rebuilding the entire stack, from hardware to cloud. We aim to eliminate the friction that slows down AI development, making compute faster, cheaper, and more accessible. Our Kernel Optimizer automatically finds the fastest code for any hardware, and our Model Foundry manages workloads across clouds and chips. We are backed by leading investors and are seeking individuals passionate about advancing AI through compute innovation.

$285k - $315k

We are seeking a Member of Technical Staff for GPU Compiler Engineering to build the machine that drives our cutting-edge GPU compiler. This role involves working on the entire pipeline, from StableHLO ingestion to backend code generation and executable binary creation. You will enhance our search-based compiler infrastructure, enabling agents and RL to find optimal code forms while guaranteeing correctness. This is an opportunity to work at the foundational level of the AI stack, directly impacting the speed and cost of large-scale training runs.

$285k - $315k

SF Tensor is building the future of high-performance compute for AI by rethinking and rebuilding the entire stack, from hardware to cloud infrastructure. They aim to eliminate the friction and cost associated with compute, making it faster, cheaper, and more accessible. Their core products include the Kernel Optimizer, which automatically finds the fastest code configurations for various hardware, and the Model Foundry, which streamlines research runs and manages workloads across different clouds and chips. This role focuses on building a critical layer for their compiler's search process: a serverless GPU container service that can run untrusted, freshly generated kernels quickly and safely across multiple vendors and accelerator types.

$275k - $315k