Network Engineer, Supercomputing

Highlights

• Own interconnect reliability at scale for large GPU training and inference.
• Debug production collectives down to the NIC to keep long runs healthy.
• Build host-level instrumentation and dashboards that speed future debugging.

What they offer

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

Ideal candidate

Hands-on, cross-stack owner who thrives debugging deep systems and driving issues to resolution. Collaborative and action-biased, you care about making large-scale training trustworthy for researchers.

Requirements

• 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 cross-functional partners
• Bias for action with mindset to take initiative across stacks and teams