Network Engineer, Supercomputing

We're looking for a network engineer to own the lowest layers of the network stack that our large-scale training and inference depend on. A single degraded link or flapping NIC can quietly slow a long training run or take it down outright; you'll be responsible for interconnect reliability at scale, across large GPU fabrics — both the RDMA/RoCE fabric between nodes and the NVLink/NVSwitch domains within them.

This is a hands-on, cross-stack role. You'll debug production collectives down to the NIC, build the instrumentation and tooling that makes the next debugging session dramatically faster, and serve as the technical point of contact who drives issues to resolution with our cloud providers' networking teams. Your goal is for our researchers to trust the fleet without worrying about the fabric underneath.

Note: This is an "evergreen role" that we keep open on an on-going basis to express interest. We receive many applications, and there may not always be an immediate role that aligns perfectly with your experience and skills. Still, we encourage you to apply. We continuously review applications and reach out to applicants as new opportunities open. You are welcome to reapply if you get more experience, but please avoid applying more than once every 6 months.