Thinking Machines Lab

Network Engineer, Supercomputing

San Francisco

H1B sponsorship available$350k-$475kDetected 27 days ago

PythonRustExpressKubernetesLinuxDeep LearningPyTorchLogisticsNetwork EngineeringCommunication

About the role

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.
Your goal is for our researchers to trust the fleet without worrying about the fabric underneath.

Reason about and validate GPU network fabric design across our deployments.
Build host-level network instrumentation and use Linux tooling to build dashboards and alerts, not just the bug report.
Drive escalations with cloud-provider networking teams, owning issues end-to-end until they're resolved.
Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts.

Bachelor's degree or equivalent experience in computer science, engineering, or similar.
Proficiency in at least one backend language (we use Python or Rust).
Experience operating large‑scale clusters and container orchestration systems (e.g. Kubernetes or Slurm).
Comfort operating across the stack and owning projects end-to-end.
Extensive experience with at least one of the following:

we encourage you to apply if you meet some but not all of these:
Fluency with host-level debugging tools on Linux.
Strong communication skills, internally and with cloud providers.
Familiarity with cloud network primitives across at least two cloud providers.
Hands-on experience with NVLink / NVSwitch, fabric manager, and IMEX.
Statistical rigor in reliability reasoning - comfort reasoning about failure and error rates, distributions, and base rates, and the judgment to separate signal from noise when characterizing a large fabric.
A track record of writing tooling that made the next debugging session meaningfully faster.
Familiarity with CUDA/NCCL and performance profiling for distributed training and inference.

Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence.

Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.

Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.
Own NVLink / NVSwitch interconnect - including fabric manager and IMEX health, link and lane errors, and how the GPU fabric interacts with collectives.

While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
We sponsor visas.

This listing is sourced directly from Thinking Machines Lab's careers page and normalized into a canonical job model.