Data Center Engineer
Content + Source + Freshness • 12 Dec 2025 • 95% confidence
Offer value
High value score due to strategic role in AI infrastructure, potential for innovation, and competitive compensation without excessive bureaucracy.
- Key role in pioneering AI technology development
- Strong potential for career advancement
- Requires deep expertise in data center engineering
Pros
- Innovative company with industry-leading AI technology
- Significant opportunities for professional development
- Collaborative culture promoting creativity and problem-solving
Cons
- Requires extensive experience and expertise in data center operations
- Fast-paced environment may be overwhelming for some
- Potential for long hours in project execution phases
Who it's for
Senior • On-site in Sunnyvale, CA
Good fit
- Senior data center engineers with leadership experience
- Tech enthusiasts eager to take part in AI breakthroughs
- Candidates wanting to work in an innovative and fast-paced environment
Not recommended for
- Entry-level candidates without relevant experience
- Professionals averse to collaborative and fast-paced cultures
- Individuals preferring routine and predictability
Motivation fit
Key skills
About the job
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.
Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.
Responsibilities
- Drive the design of MEP infrastructure—reviewing drawings and proposals across all project stages.
- Partner with vendors to spec, source, and manage key systems: generators, UPS, chillers, CDUs.
- Provide deep technical guidance on facility architecture, equipment, and operational systems—anchored in industry best practices.
- Integrate power, cooling, network, and construction systems into a cohesive data center design and operational model.
- Shape operational workflows—from design specs through commissioning, pilot validation, and go-live readiness.
- Set technical direction for internal teams and external partners—ensuring alignment with standards and execution excellence.
- Manage contractors and consultants—building strong vendor relationships.
- Ensure uptime and performance of critical infrastructure—power, cooling, and networking systems.
- Own QA and risk mitigation—ensuring safety and operational compliance.
Skills & Qualifications
- 10+ years in data center design, operations, and maintenance.
- Proven leadership in large-scale data center environments.
- Deep expertise in MEP systems and critical infrastructure.
- Strong grasp of data center architecture, workflows, and systems integration.
- Hands-on experience with critical equipment and vendor management.
- Track record of successful equipment selection, installation, and bring-up.
- Experience navigating regulatory compliance and design standards.
- Clear communicator and collaborator across engineering and business teams.
- Solid understanding of construction and architectural principles.
- Bachelor’s in engineering or related field; advanced degree preferred.
- Professional engineering certification preferred.
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:
- Build a breakthrough AI platform beyond the constraints of the GPU.
- Publish and open source their cutting-edge AI research.
- Work on one of the fastest AI supercomputers in the world.
- Enjoy job stability with startup vitality.
- Our simple, non-corporate work culture that respects individual beliefs.
Read our blog: Five Reasons to Join Cerebras in 2025.
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.
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