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# GPU Kernel Engineer

- **Company:** Typesafe AI Inc.
- **Location:** San Francisco, CA, United States
- **Salary:** $180,000.0 - $280,000.0
- **Contract:** Permanent contract
- **Skills:** Nvidia CUDA, Large Language Models
- **Published:** July 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a74c1dbffe57d090

## About the Role

* Have deep CUDA / GPU kernel expertise and a track record of real performance wins
 * Have built and optimized inference / training kernels
 * Have hands-on LLM training experience (real, not at a hobbyist level)
 * Reason from first principles about performance, memory, and parallelism
 * Are responsible, ownership-inclined team players who are mission aligned and excited to go all-in

## Description

We're looking for a GPU kernel engineer with deep, low-level CUDA expertise to make our training and inference faster and more efficient. You'll write and optimize custom kernels, profile and eliminate bottlenecks, and work close to the metal across our model stack., * Write, optimize, and maintain high-performance GPU kernels (e.g., in CUDA / CuTe DSL) for training and inference

 * Profile end-to-end performance and eliminate bottlenecks across the stack
 * Partner with research and platform engineers to squeeze maximum throughput and minimum latency out of our hardware


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