# Network Engineer, Supercomputing at Thinking Machines

- Company: Thinking Machines
- What the company does: Connectionism: Research Blog by Thinking Machines Lab. Backed by a16z, Accel and GV.
- Company website: https://thinkingmachines.ai/
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco
- Work setup: Remote
- Pay: $350K to $475K base salary per year (USD)
- Posted: 2026-06-24
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/thinkingmachines/2c38437e-cdab-422c-9491-faaa02a3718b
- Page: https://www.1752.vc/careers/jobs/thinking-machines-network-engineer-supercomputing/

## About the role

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.

## What they're looking for

- 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
- Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts
- A bias for action with a mindset to take initiative to work across different stacks and different teams where you spot the opportunity to make sure something ships

Tags: Core Engineering