Data Center Engineer
Content + Source + Freshness • 14 Feb 2026 • 95% confidence
Offer value
High value primarily due to industry leadership, demand for specialized skills, and the innovative environment at Cerebras.
- Join a leader in AI technology and data processing
- High professional growth within a pioneering company
- Requires extensive experience in data center management and operations
Pros
- Pioneering company in AI technology with substantial growth trajectory
- Opportunities to work on groundbreaking projects and a unique architecture
- Strong mentorship and professional development opportunities
Cons
- High-pressure environment with demanding workload
- Location-specific role potentially limiting candidate pool
- Limited clarity on compensation structure
Who it's for
Senior / Experienced • On-site
Good fit
- Senior engineers with a background in data center operations
- Candidates with leadership experience in engineering environments
- Professionals excited about AI and cutting-edge technology
Not recommended for
- Junior engineers or new graduates
- Individuals who prefer predominantly remote work
- Professionals lacking MEP or data center expertise
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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