Staff Software Engineer, Kubernetes Platform

Highlights

• Own the scheduler placing ML workloads across thousands of accelerators at once.
• Scale the control plane to stay responsive as clusters grow orders of magnitude.
• Your work keeps frontier AI training reliable as the compute fleet grows.

What they offer

• optional equity donation matching
• generous vacation and parental leave
• flexible working hours

Ideal candidate

A reliability-obsessed distributed systems builder who loves debugging deep stack issues and owning critical platform infrastructure that powers frontier AI research. You thrive on ambiguous, large-scale challenges and collaborate well with researchers.

Requirements

• Significant software engineering experience building and operating production distributed systems
• Proficiency in at least one systems-appropriate language (e.g., Go, Python, Rust, or C++)
• Deep, hands-on Kubernetes experience beyond user level into scheduler, controllers or apiserver
• Demonstrated ability to debug complex issues across the stack to node and network level
• Track record of designing for reliability, correctness and clear failure semantics
• Strong written and verbal communication and building consensus with stakeholders