AI Infrastructure Operations Engineer (SiteOps)

Location: US and Canada offices

Company

Develops large-scale AI accelerator systems and infrastructure designed to deliver high-speed model training and inference.

What you will do

• Assist with deployment and bring-up of CS-X systems, cluster servers, and networking hardware.
• Execute power-on sequencing, readiness checks, and hardware validation tests.
• Monitor hardware telemetry, alerts, and operational dashboards.
• Perform first-line troubleshooting, collect logs and observations, and escalate incidents through established workflows.
• Participate in incident response under senior engineer guidance and provide feedback on tooling and process gaps.

Requirements

• Bachelor’s degree in a relevant engineering field or equivalent experience.
• 0–3 years of experience in hardware operations, systems engineering, or data center environments.
• Basic familiarity with server hardware, networking fundamentals, and Linux systems.
• Ability to consistently execute defined hardware bring-up, validation, monitoring, and escalation procedures.

Nice to have

• Internship or early-career experience in a data center or hardware laboratory environment.
• Exposure to monitoring or telemetry systems.
• Comfort working in data centers.

Culture & Benefits

• Work on an AI platform designed to extend beyond GPU-based computing.
• Opportunity to contribute to AI research and open-source research initiatives.
• Exposure to one of the fastest AI supercomputers in the world.
• Startup vitality combined with job stability.
• Non-corporate culture focused on individual beliefs, learning, growth, and support.