Reliability Engineer, Supercomputing

Highlights

• You will own reliability of GPU supercomputing fleet for frontier research.
• Diagnose hardware faults to root cause and drive fixes with vendors directly.
• Automate fleet health monitoring and validate fixes measurably cut failures.

What they offer

• Generous health, dental, and vision benefits
• Unlimited PTO
• Paid parental leave
• Relocation support as needed

Ideal candidate

A hands-on systems thinker who lives at the hardware-software seam and takes end-to-end ownership. You are collaborative, action-biased, and obsessed with root-causing elusive failures so researchers can run at scale with confidence.

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 (e.g. Kubernetes or Slurm)
• Comfort operating across the stack and owning projects end-to-end
• Thrive in highly collaborative environment with cross-functional partners
• Bias for action with initiative to work across stacks and teams