Member of Technical Staff - Compilers

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 intelligently orchestrating increasingly heterogeneous compute to unprecedented scale.

Compilers sit at the center of that challenge. The performance gains unlocked at this layer compound across every workload that runs on the platform.

This role is an opportunity to help build the execution stack that transforms modern AI workloads into efficient programs running across diverse hardware architectures.

You will work across compiler infrastructure, runtime systems, scheduling, memory movement, kernel orchestration, and serving optimization to improve how AI workloads are executed in production.

This is not a traditional compiler role.

We are not building a language compiler in isolation.

We are building the systems that determine...