Jobs
Required Skills
Data center facilities engineering
MEP systems
Electrical distribution
Mechanical cooling
Engineering drawings
Technical communication
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 top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, 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.
About The Role:
This senior engineering role will be a key technical authority within the Site / Data Center Operations team, responsible for ensuring Cerebras’ facility providers deliver power, cooling, and plumbing infrastructure that meets the needs of high-density AI compute systems.
The role focuses on data center builds, retrofits, and operational readiness, working closely with colocation providers, hyperscale-class facility partners, and internal engineering teams. The ideal candidate has operated in large-scale data center construction environments, understands both hyperscale rigor and fast-paced build execution, and can hold vendors accountable to technical requirements.
Responsibilities:
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Act as a technical authority for data center power, cooling, and plumbing (MEP) systems supporting Cerebras deployments
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Partner with site operations, infrastructure, and hardware teams to translate Cerebras system requirements into facility-level design and build criteria
Review, validate, and influence:
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Electrical one-line diagrams, power distribution, and redundancy models
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Cooling architectures (air, liquid, hybrid)
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Water systems, plumbing loops, and heat rejection strategies
Ensure facility providers meet Cerebras requirements for:
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Power density, redundancy, and stability
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Cooling capacity and thermal performance
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Plumbing quality, materials, and operational safety
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Support new data center builds, expansions, and retrofits, including design reviews, construction oversight, and commissioning
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Participate in site acceptance testing, commissioning, and turnover to operations
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Identify facility-level risks and gaps; drive corrective actions with providers and partners
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Provide engineering input during incident analysis and postmortems related to power, cooling, or facility infrastructure
Required Background
- 10+ years of experience in data center facilities engineering or construction
Strong hands-on knowledge of MEP systems, including:
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Electrical distribution and redundancy
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Mechanical cooling systems
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Plumbing and water infrastructure
Experience delivering large-scale data center builds at:
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Hyperscaler level and/or
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Fast-paced, high-density, rapid-deployment environments
Demonstrated experience working with:
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Colocation providers
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Engineering, procurement, and construction (EPC) partners
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Facility operators
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Ability to read, review, and challenge engineering drawings and design documents
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Strong communication skills and comfort interfacing with senior technical stakeholders
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There will likely be significant travel involved - at least 25%
Preferred Experience:
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Licensed Professional Engineer (PE) – Electrical or Mechanical
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Experience supporting high-density compute or AI/HPC environments
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Familiarity with liquid-cooled or hybrid cooling data centers
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Experience with commissioning, integrated systems testing (IST), and facility turnover
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Background supporting both design-phase and operational-phase facilities
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:
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Build a breakthrough AI platform beyond the constraints of the GPU.
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Publish and open source their cutting-edge AI research.
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Work on one of the fastest AI supercomputers in the world.
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Enjoy job stability with startup vitality.
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Our simple, non-corporate work culture that respects individual beliefs.
Read our blog: Five Reasons to Join Cerebras in 2026.
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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About Cerebras

Cerebras
Series F+Cerebras Systems Inc. is an American artificial intelligence (AI) company with offices in Sunnyvale, San Diego, Toronto, and Bangalore, India. Cerebras builds computer systems for complex AI deep learning applications.
201-500
Employees
Sunnyvale
Headquarters
$4.1B
Valuation
Reviews
4.1
39 reviews
Work Life Balance
3.3
Compensation
4.8
Culture
4.1
Career
4.4
Management
4.0
90%
Recommend to a Friend
Pros
Strong research and publication culture
Impact on the future of AI development
Brilliant colleagues passionate about the field
Cons
Work-life balance can suffer during critical periods
High expectations and pressure to deliver
Competition for resources and recognition
Salary Ranges
2 data points
L3
Intern
L3 · Compiler Engineer Intern
1 reports
$87,000
total / year
Base
$87,000
Stock
-
Bonus
-
$87,000
$87,000
Interview Experience
50 interviews
Difficulty
3.9
/ 5
Duration
21-35 weeks
Offer Rate
23%
Experience
Positive 72%
Neutral 9%
Negative 19%
Interview Process
1
Recruiter Screen
2
ML Coding
3
ML System Design
4
Research Discussion
5
Team Interviews
Common Questions
ML fundamentals
Design an ML system
Research paper discussion
Statistical concepts
News & Buzz
Cerebras Systems Highlights AI Infrastructure Strategy at MIT Sloan Tech Summit - TipRanks
Source: TipRanks
News
·
5w ago
Cerebras AI Lands A Whale As It Prepares To Go Public - Forbes
Source: Forbes
News
·
7w ago
Cerebras Inks Transformative $10 Billion Inference Deal With OpenAI - The Next Platform
Source: The Next Platform
News
·
7w ago
Cerebras Poses an Alternative to Nvidia With $10B OpenAI Deal - AI Business
Source: AI Business
News