AI Infrastructure Operations Engineer

Cerebras; United States; On-site; USD 70,000 - 90,000; Full time

Benefits offered by this job

Inclusive work environment

Career growth opportunities

Equal opportunity employer

Job summary

Cerebras is looking for an entry-level AI Infrastructure Operations Engineer focused on deploying and troubleshooting AI infrastructure in data centers. Responsibilities include supporting hardware operations, monitoring telemetry, and participating in incident response.

The role offers opportunities for career progression toward senior roles within Infrastructure Operations. Candidates should have a relevant engineering degree and basic knowledge of server hardware, networking, and Linux systems.

Qualifications

• 0–3 years experience in hardware operations, systems engineering, or datacenter environments.
• Internship or early-career experience in datacenter or hardware lab environments.

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.

Skills

Basic familiarity with server hardware

Networking fundamentals

Linux systems

Education

Bachelor’s degree in relevant engineering field

Job description

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.

Why Join Cerebras

People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:

1. Build a breakthrough AI platform beyond the constraints of the GPU.
2. Publish and open source their cutting‑edge AI research.
3. Work on one of the fastest AI supercomputers in the world.
4. Enjoy job stability with startup vitality.
5. Our simple, non‑corporate work culture that respects individual beliefs.

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

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