Connectionism: Research Blog by Thinking Machines Lab. Backed by a16z, Accel and GV.
About the role
We're hiring an engineer to ensure the reliability of our GPU supercomputing fleet, owning the seam between hardware, firmware, and operating system. You will track the long tail of hardware issues: We are conducting frontier research in AI and a single bad NIC, HBM or a kernel driver edge case can compromise an experiment.
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
More about this role
The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it.
We're hiring an engineer to ensure the reliability of our GPU supercomputing fleet, owning the seam between hardware, firmware, and operating system. You will track the long tail of hardware issues: We are conducting frontier research in AI and a single bad NIC, HBM or a kernel driver edge case can compromise an experiment. Your job is to diagnose these issues, track their root cause down to the hardware, and resolve them internally or directly with vendors so that our researchers can run at scale and with confidence.
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...
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