Cerebras Systems

AI Infrastructure Operations Engineer at Cerebras Systems (United States and, Canada)

Cerebras Systems· United States and, Canada·

Role details

Employment
Full-Time
Skills
Hardware operationsSystems engineeringDatacenter environmentsServer hardwareNetworking fundamentalsLinux systemsMonitoring systemsTelemetry systemsDatacenter lab experience
Benefits

Job Stability · Startup Vitality · Non-Corporate Work Culture · Continuous Learning · Growth And Support

Cerebras Systems at a glance

Cerebras builds wafer-scale AI chips, the largest ever made, plus the supercomputers and fast inference cloud that run on them.

Cerebras designs the Wafer-Scale Engine, the largest computer chip ever built, and sells it as on-premises CS-3 supercomputers and as a pay-as-you-go inference and training cloud. Its pitch is speed: keeping a whole model on one piece of silicon delivers AI inference the company says runs up to 15x faster than GPU clusters.

$5.55B (IPO); ~$2.7B raised privately beforehand raised · latest: IPO · ~$5.55B · May 2026 (Nasdaq: CBRS, priced at $185) · backed by Sam Altman, Ilya Sutskever, Andy Bechtolsheim, Adam D'Angelo

Summary

Entry-level role focused on the deployment, bring-up, monitoring, and first-line troubleshooting of Cerebras AI infrastructure in data center environments. The position supports CS systems, cluster server hardware, and networking hardware while building foundational knowledge of system architecture.

Job description

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.

This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership openai.com/cerebras-partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

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.

Find out more about what it's like to work at Cerebras here cerebras.ai/join-us!

Apply today and become part of the forefront of groundbreaking advancements in AI!

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.

This website or its third-party tools process personal data. For more details, click here cerebras.net/privacy to review our CCPA disclosure notice.

Why work at Cerebras Systems

  • Culture: “Extraordinary people, breakthrough innovation, global impact” – the company highlights collaborative, low‑overhead teams with little bureaucracy.
  • Work environment: Hybrid/office with locations in Sunnyvale, San Diego, Toronto, and Bangalore. Inclusive and flexible policy.
  • Perks: Premium medical/dental/vision, life insurance, generous vacation, 401(k) and Group RRSP retirement plans, daily catered meals, healthy snacks, family‑friendly events (including CEO’s famous BBQ).
  • Engineering focus: Tackling fundamental challenges in chip design, system software, compiler technology, and ML workflows. Positions range from hardware (Design Verification, Manufacturing) to software (SRE, Compiler, Cloud).
  • Philanthrophy: Supports local communities and hosts students from around the world for Q&A.

Application questions