GPU Kernel Engineer

About Relace

Relace is building a globally distributed inference cloud. Customers send us requests, we run them on our own fleet of GPUs across the world, and we compete on price, speed and reliability against companies far larger than us. We have customers and revenue today, we’re venture backed, and the team is still small, so roles come with a lot of responsibility and room to grow.

We build our own stack, and the fleet runs on Kubernetes across multiple clouds. Performance here is the business: making the system ten percent faster makes the company roughly ten percent more money, and we can show you the number.

Some numbers: we process 800B+ tokens a day, we’ve grown 3x in the last three months, we are regularly one of the top providers by volume on OpenRouter, and we raised a $23M Series A led by Andreessen Horowitz, with Matrix Partners and Y Combinator.

The role

You would work at the bottom of the stack, writing and tuning the code that runs directly on the GPU: making the hardware do more work per second and per dollar, shrinking models so they’re cheaper to run without making them worse, and hunting down the many boring reasons a GPU sits idle. We don’t require GPU or CUDA experience. We’d rather have an excellent low-level systems engineer with no GPU b