AI Infrastructure Operations Engineer

About The Role

The AI Infrastructure Operations Engineer (SiteOps) is an entry-level individual contributor role focused on the deployment, bring-up, monitoring, and first-line troubleshooting of Cerebras AI infrastructure in data center environments. The role supports CS systems, cluster server hardware, cluster networking hardware, and hardware telemetry and monitoring tools.

Support reliable operation and scale-out of Cerebras AI clusters by executing defined hardware bring-up and validation procedures, monitoring telemetry, performing first-line troubleshooting, and escalating issues using established workflows.

Responsibilities

• Assist with deployment and bring-up of CS-X systems, cluster servers, and networking hardware;
  • Execute power-on sequencing, readiness checks, and validation tests.
  • Monitor hardware telemetry, alerts, and dashboards.
  • Perform first-line troubleshooting and structured escalation.
  • Collect logs, telemetry, and observations during incidents.

Incident Support & Tooling

• Participate in incident response under senior engineer guidance;
  • Use existing monitoring, telemetry, and incident tracking tools.
  • Provide feedback on tooling and process gaps.

Learning & Development

• Build working knowledge of Cerebras system architecture;
  • Learn cluster hardware and networking fundamentals.
  • Shadow senior engineers during complex debugging.
  • Progress toward independent ownership of defined workflows.

Explicit Non-Responsibilities

• No people management;
  • No final escalation authority.
  • No ownership of cluster architecture, hardware design, or tooling architecture.

Required Qualifications

Bachelor’s degree in a relevant engineering field or equivalent experience; 0–3 years experience in hardware operations, systems engineering, or datacenter environments; basic familiarity with server hardware, networking fundamentals, and Linux systems.

Preferred Qualifications

Internship or early-career experience in datacenter or hardware lab environments; exposure to monitoring or telemetry systems; comfort working in data centers.

What Success Looks Like

Consistent and correct execution of hardware bring-up procedures, early identification and escalation of issues, improving documentation quality, and clear progression toward more independent operational responsibility.

Career Path

This role progresses naturally toward Senior and Principal IC roles within AI Infrastructure Operations (SiteOps), with an optional management track.