AI Infrastructure Systems Engineer

Skills

About the Role

You will build software that automates the full GPU-cluster lifecycle, including provisioning, validation, deployment, upgrades, repairs, and retirement. You will develop infrastructure agents and monitoring platforms to detect failures, support incident triage, and improve GPU availability, utilization, performance, and reliability. You will also create validation systems and internal developer tools for software-managed infrastructure.

Requirements

• 3+ years building distributed systems, infrastructure platforms, or large-scale backend software
• Software engineering skills in Python, Go, or Rust
• Experience building platforms, automation systems, or developer infrastructure
• Experience with Linux, Kubernetes, Terraform, Ansible, or similar infrastructure technologies
• Ability to understand problems across hardware and software
• Automation-first approach to repeated tasks

Responsibilities

• Design and build fleet automation systems for GPU cluster provisioning, validation, deployment, upgrades, repair, and retirement
• Build AI infrastructure agents for deployment automation, root-cause analysis, incident triage, and autonomous remediation
• Develop fleet intelligence platforms to monitor hardware health, firmware, networking, storage, thermals, and workload performance
• Build software that improves GPU availability, utilization, performance, and reliability
• Create automated validation systems for GPUs, networking fabrics, storage, and distributed AI workloads
• Build internal platforms and developer tools for software-managed infrastructure
• Improve deployment velocity, reliability, and operational efficiency through automation
• Partner with hardware, networking, platform, and AI teams on infrastructure improvements

Benefits

• Startup equity
• Health insurance