Member of Technical Staff - Kernels & GPU Performance
About Us
Gimlet is building the next generation of AI infrastructure: large-scale AI datacenters and the orchestration platform that coordinates them.
The future of AI will require vastly more compute than exists today. But as AI workloads become more complex and new hardware architectures emerge, simply deploying more GPUs isn't enough. The challenge is making increasingly diverse compute work together.
Gimlet's platform intelligently partitions and routes workloads across heterogeneous hardware, enabling step-function improvements in performance and efficiency. Customers deploy through production-grade APIs without needing to think about hardware selection, placement, or optimization.
We work with foundation labs, hyperscalers, and AI-native companies to power production workloads at massive scale and help define the infrastructure layer for the future of AI.
ABOUT THE ROLE
At Gimlet, we believe every hire changes the company.
As a Series A company, talent density matters more than headcount. The engineers we hire today will shape the systems, culture, and standards that define Gimlet for years to come.
The future of AI infrastructure will not be built on a single hardware platform. It will be built on software capable of extracting maximum performance from increasingly diverse compute architectures.
Kernel engineers sit at the center of that challenge.
This role is an opportunity to help build the execution layer that transforms theoretical hardware performance into production reality.
You will work close to accelerators and execution hardware, designing, optimizing, and validating kernels that power large-scale AI workloads across both established and emerging architectures.
This is not a traditional GPU optimization role.
We are building systems that must operate efficiently across heterogeneous hardware environments, where performance, efficiency, and correctness directly influence the economics of AI infrastructure.
WHAT SUCCESS LOOKS LIK...