Platform Engineer

Highlights

• Help build AI that improves AI, starting with automated research.
• Keep research workloads running with reliable, healthy compute.
• Turn recurring operational pain into dependable tools and processes.

What they offer

• Equity

Ideal candidate

A hands-on systems owner who loves diagnosing tricky failures and making operations boringly reliable. Curious, communicative, and motivated by unblocking researchers and improving platforms.

Requirements

• Deep Linux systems experience with troubleshooting across hosts, networking, storage, and GPU environments
• Strong Python and Bash skills with ability to reason about failures and verify changes
• Hands-on infrastructure as code and configuration management with Terraform, Pulumi, Puppet, or Ansible
• Experience operating Slurm and GPU clusters including NVIDIA or AMD diagnostics and NCCL or RCCL
• Practical Kubernetes and container deployment experience with CI/CD, IAM policies, and secure access
• Comfort using AI coding agents for diagnosis and automation with judgment to review risks
• Clear communication, curiosity, and ownership while guiding researchers through unclear requirements