Mechanical Engineer - Datacenter Deliver

Posted Yesterday
Be an Early Applicant
2 Locations
In-Office or Remote
Senior level
Artificial Intelligence • Hardware • Software • Semiconductor
The Role
Lead owners technical oversight for mechanical infrastructure in leased AI data centers: review designs, approve equipment, validate high-density cooling architectures, support construction, commissioning, operational readiness, and cross-functional coordination to ensure performance and reliability.
Summary Generated by Built In

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 with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

The Role

We are seeking an experienced Mechanical Engineer to join the Data Center Delivery organization. This role will be responsible for technical oversight of mechanical infrastructure across leased AI data center deployments, ensuring facilities are designed, constructed, commissioned, and handed over to meet Cerebras' performance, reliability, scalability, and schedule requirements.

The Mechanical Engineer will serve as the owner's technical representative, partnering closely with colocation providers, developers, EPC contractors, OEMs, and internal infrastructure teams to deliver world-class AI computing facilities.

Unlike traditional data center development roles, this position focuses on technical governance, design reviews, owner acceptance, fit-out integration, and operational readiness rather than performing detailed engineering design.

Responsibilities

  • Serve as the subject matter expert for mechanical infrastructure across assigned projects.

  • Review and approve basis of design, drawings, equipment submittals, RFIs, and change requests.

  • Ensure compliance with Cerebras engineering standards.

  • Validate cooling architectures supporting high-density AI deployments.

White Space Delivery

  • Provide technical oversight for in-row/rear-door cooling systems

  • Coolant Distribution Units (CDUs)

  • Thermal expansion tanks

  • Buffer tanks

  • Stainless steel piping

  • Hot aisle containment

  • Mechanical supports

  • Leak detection systems

  • CRAH/CRAC integration

  • Water treatment systems

  • White space mechanical distribution

Colocation & Developer Management

  • Act as owner's representative during design, construction, and commissioning.

  • Review developer design decisions.

  • Participate in design workshops.

  • Resolve technical issues.

  • Evaluate value engineering proposals.

  • Ensure contracted mechanical scope is delivered.

Construction Support

  • Perform regular site inspections.

  • Monitor installation quality.

  • Review contractor installation methods.

  • Support schedule recovery planning.

  • Validate installations against approved drawings.

  • Participate in turnover inspections.

Commissioning

  • Support FAT, SAT, IST, FPT, mechanical startup, cooling optimization, and owner acceptance.

  • Review commissioning documentation and verify system performance prior to turnover.

Operational Readiness

  • Ensure complete O&M documentation.

  • Develop spare parts strategy.

  • Support maintenance procedures.

  • Verify asset documentation.

  • Coordinate training packages.

  • Manage mechanical warranties.

Cross Functional Collaboration

  • Work with Electrical Engineering, Network Engineering, Construction TPMs, Commissioning Managers, Capacity Planning, Operations, Procurement, colocation providers, and OEMs.

Skills & Qualifications

Required

  • Bachelor's degree in Mechanical Engineering.

  • 8+ years in mission-critical facilities or hyperscale data centers.

  • Strong understanding of chilled water cooling systems.

  • Experience with high-density AI/HPC cooling.

  • Knowledge of data center cooling infrastructure.

  • Construction and commissioning experience.

  • Ability to interpret mechanical drawings.

  • Excellent communication and project management skills.

Preferred

  • PE license preferred.

  • Experience supporting leased data centers, hyperscale or AI data centers

  • Familiarity with liquid cooling.

  • Knowledge of ASHRAE thermal guidelines.

  • Experience with BIM/Revit/Navisworks.

  • Familiarity with CFD analysis.

Technical Expertise

  • Chilled water systems

  • Cooling towers

  • Heat exchangers

  • CDUs

  • Pumping systems

  • Buffer tanks

  • Expansion tanks

  • Stainless steel piping

  • Glycol systems

  • Water treatment

  • Hot aisle containment

  • High-density cooling

  • Leak detection

  • BMS integration

  • Mechanical commissioning

  • Root cause analysis

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!

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 to review our CCPA disclosure notice.

Skills Required

  • Bachelor's degree in Mechanical Engineering
  • 8+ years in mission-critical facilities or hyperscale data centers
  • Strong understanding of chilled water cooling systems
  • Experience with high-density AI/HPC cooling
  • Knowledge of data center cooling infrastructure
  • Construction and commissioning experience
  • Ability to interpret mechanical drawings
  • Excellent communication and project management skills
  • Chilled water systems
  • Cooling towers
  • Heat exchangers
  • CDUs (Coolant Distribution Units)
  • Pumping systems
  • Buffer tanks
  • Expansion/thermal expansion tanks
  • Stainless steel piping
  • Glycol systems
  • Water treatment systems
  • Hot aisle containment
  • Leak detection systems
  • BMS integration and mechanical commissioning
  • Root cause analysis for mechanical systems
  • PE license
  • Experience supporting leased data centers, hyperscale or AI data centers
  • Familiarity with liquid cooling
  • Knowledge of ASHRAE thermal guidelines
  • Experience with BIM/Revit/Navisworks
  • Familiarity with CFD analysis
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The Company
774 Employees
Year Founded: 2015

What We Do

Cerebras Systems develops wafer-scale semiconductor hardware, AI supercomputers, and software/cloud services for training and inference. Its CS-2 and CS-3 systems help organizations build on-premise AI supercomputers, while pay-as-you-go cloud offerings provide developers and enterprises access to its computing platform. The company focuses on making AI training and inference faster and easier for diverse research and production workloads at scale worldwide.

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