GPU Infrastructure Engineer

About the Role

About PolarGrid PolarGrid is an early-stage Canadian company that runs managed AI inference. A customer brings a model or a serving image. We run it on dedicated GPUs behind one endpoint, serve each request from the nearest site, and move traffic to the next nearest site when one fails. Our goal is to make AI inference fast, reliable, and secure for customers running production workloads. The Role This role is responsible for scaling PolarGrid's inference network from a handful of sites to a geographically distributed fleet of GPU clusters. The GPU Infrastructure Engineer will own how new sites and nodes come online, from provisioning and burn-in through validation and a staged move into production. They will define when a site is ready for customer traffic, and make sure each new site joins the network without hurting latency or reliability. A core responsibility is running the global routing layer that sends each request to the best place to serve it. The GPU Infrastructure Engineer will work with live signals such as network latency, capacity and health, and tune routing against real traffic to keep latency low and predictable. The role also owns reliability across the network. The GPU Infrastructure Engineer will set and track availability targets, build the health checks and automation that detect and route around failing hardware and models, keep recovery fast, and test failure handling regularly. The GPU Infrastructure Engineer will build the observability, release and network systems needed to run a distributed GPU fleet without operations work growing with every new site. This includes end-to-end tracing and latency alerting, safe staged rollouts, network configuration as code, and security and DDoS protection at the edge. Requirements Experience operating distributed systems across multiple sites or regions with high availability targets Strong networking fundamentals: BGP, DNS, TCP/TLS and load balancing Hands-on experience running bare-metal

Requirements & Qualifications

• Strong problem solving foundations, knowledge of modern engineering practices, and interest in technology systems.

Perks & Benefits

• Official mentor support
• verified hiring timeline
• and career progression.