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.
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.