Network Engineer, Supercomputing

Thinking Machines Lab is seeking a Network Engineer to own the lowest layers of the network stack for large-scale training and inference. The successful candidate will be responsible for interconnect reliability at scale, across large GPU fabrics.

Responsibilities:

• Reason about and validate GPU network fabric design across deployments.
• Debug RDMA/RoCEv2 across different NIC vendors.
• Own NVLink/NVSwitch interconnect.
• Build host-level network instrumentation and use Linux tooling to build dashboards and alerts.
• Navigate cross-cloud fabric quirks and triage across the NIC, driver, kernel, switch, and workload boundaries.
• Drive escalations with cloud-provider networking teams.

Requirements:

• Bachelor’s degree or equivalent experience in computer science, engineering, or similar.
• Proficiency in at least one backend language (Python or Rust).
• Experience operating large-scale clusters and container orchestration systems.
• Comfort operating across the stack and owning projects end-to-end.
• Thrive in a highly collaborative environment.

Preferred qualifications:

• Fluency with host-level debugging tools on Linux.
• Strong communication skills.
• Extensive experience with NVLink/NVSwitch, fabric manager, and IMEX.
• Statistical rigor in reliability reasoning.
• A track record of writing tooling that made the next debugging session meaningfully faster.

Logistics:

• Location: San Francisco, California.
• Compensation: $350,000 - $475,000 USD.
• Visa sponsorship: Available.
• Benefits: Generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support.