[{"@context":"https://schema.org","@type":"JobPosting","title":"Founding Research Engineer, AI-Driven Compilation","description":"

About SF Tensor

At The San Francisco Tensor Company, we believe the future of AI and high-performance computing depends on rethinking the entire software and infrastructure stack. Today's developers face bottlenecks across hardware, cloud, and code optimization that slow progress before ideas can reach their full potential. Our mission is to remove those barriers and make compute faster, cheaper, and universally portable.

We are building a Kernel Optimizer that automatically transforms code into its most efficient form, combined with Tensor Cloud for adaptive, cross-cloud compute and Emma Lang, a new programming language for high-performance, hardware-aware computation. Together, these technologies reinvent the foundations of AI and HPC.

SF Tensor is proudly backed by Susa Ventures and Y Combinator, as well as a group of angels including Max Mullen and Paul Graham as well as founders and executives of NeuraLink, Notion and AMD. We are partnering with researchers, engineers, and organizations who share our belief that the next breakthroughs in AI require breakthroughs in compute.

About the Role

We're building a next-generation AI compiler that uses machine learning to optimize machine learning. As a Founding Research Engineer focused on AI-driven compilation, you'll develop the agentic and reinforcement learning systems that guide our compiler's optimization decisions.

This is a research-heavy role right at the intersection of compilers and ML. You'll design learned systems that can explore huge optimization spaces, discover new code transformations, and keep improving compilation quality over time.

What You'll Do

- Design and implement RL-based systems for","datePosted":"2025-12-31","employmentType":"FULL_TIME","hiringOrganization":{"@type":"Organization","name":"SF Tensor","sameAs":"https://sf-tensor.com"},"url":"https://jobs.ashbyhq.com/sf-tensor/8aab8d9d-de8e-4d36-a2c3-7c9e18903965","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":275000,"maxValue":315000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","title":"Founding Product Engineer","description":"

About SF Tensor

About the Role

We're searching for a Founding Product Engineer who'll own the entire user-facing surface of our training platform: everything from the daily interfaces our users interact with to the systems that make it all run.

This role requires taking vague features and shipping them from start to finish. We care just as much about how the product feels to use as whether it technically works. If you're someone who gets genuinely annoyed by janky animations, sloppy spacing, or interactions that feel off, we'd love to talk.

What You'll Do

- Take full ownership of product areas: sc","datePosted":"2025-12-31","employmentType":"FULL_TIME","hiringOrganization":{"@type":"Organization","name":"SF Tensor","sameAs":"https://sf-tensor.com"},"url":"https://jobs.ashbyhq.com/sf-tensor/be5d8e5d-de0d-4dd3-be8e-3eb2093ad96f","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":225000,"maxValue":275000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","title":"Founding GPU Kernel Engineer","description":"

About SF Tensor

About the Role

We're looking for a Founding GPU Kernel Engineer who lives right at the boundary between hardware and software. Someone who thinks in warps, occupancy, and memory hierarchies, and can squeeze every last FLOP out of a GPU.

Your job is to go deeper than anyone else. You'll hand-tune kernels to figure out what's actually possible on the hardware, and then turn that knowledge into compiler optimization passes that help every model we compile.

What You'll Do

- Write and hand-optimize GPU kernels for ML workloads (matmuls, attention, normalization, etc.) to set the perform","datePosted":"2025-12-31","employmentType":"FULL_TIME","hiringOrganization":{"@type":"Organization","name":"SF Tensor","sameAs":"https://sf-tensor.com"},"url":"https://jobs.ashbyhq.com/sf-tensor/1326433f-b3f8-4f05-bd3c-746033c66f1f","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":285000,"maxValue":315000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","title":"Founding GPU Compiler Engineer","description":"

About SF Tensor

About the Role

We're hiring a Founding GPU Compiler Engineer to build the core compilation infrastructure for our AI compiler. That means taking models from PyTorch, JAX, and TensorFlow and turning them into highly optimized binaries for large-scale AI pre-training.

You'll own the entire compiler stack, from ingesting StableHLO all the way to backend code generation, and you'll work across targets like NVIDIA, AMD, Trainium, and TPU. You'll help shape our architecture, tooling, and overall engineering culture from the very beginning.

What You'll Do

- Design and implement the main c","datePosted":"2025-12-31","employmentType":"FULL_TIME","hiringOrganization":{"@type":"Organization","name":"SF Tensor","sameAs":"https://sf-tensor.com"},"url":"https://jobs.ashbyhq.com/sf-tensor/766757cb-1dd3-4b98-933b-448d0602d083","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":285000,"maxValue":315000,"unitText":"YEAR"}}}]

SF Tensor

Open roles4