Network Engineer
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 THIS ROLE
Gimlet Labs is seeking a Network Engineer to design, build, and scale the network infrastructure powering production-scale AI and distributed systems for frontier labs, hyperscalers, and other high-performance compute environments.
This is an opportunity to build the network foundation for systems serving real production traffic at massive scale, while also shaping the network architecture for the next generation of AI datacenters. You will help determine how future high-performance compute environments are designed, deployed, interconnected, and operated.
The ideal candidate has deep technical knowledge of modern data center networking and is comfortable operating across physical infrastructure, network architecture, deployment workflows, and operational troubleshooting. We are looking for someone who can operate independently, drive infrastructure improvements, and help build scalable networking foundations for high-performance compute and AI workloads.
WHAT YOU WILL WORK ON
- Design, deploy, and scale datacenter network infrastructure supporting AI workloads, distributed s...