Senior Mechanical Engineer, Data Center Delivery

Cerebras

Sunnyvale (CA)

On-site

USD 140,000 - 210,000

Full time

14 days+

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Job summary

Cerebras Systems seeks an experienced Mechanical Engineer to oversee mechanical infrastructure for data center deployments, ensuring designs meet performance, reliability, and schedule requirements. The role acts as the owner's technical representative, partnering with colocation providers, EPC contractors, OEMs, and internal teams to deliver world-class AI computing facilities.

Focus is on governance, design reviews, owner acceptance, fit-out integration, and operational readiness rather than

Qualifications

  • 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.

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.

Skills

Bachelor's degree
8+ years experience
Chilled water cooling
High-density cooling
Data center cooling infra
Construction & commissioning
Mechanical drawings
Project management

Education

Bachelor's degree in Mechanical Engineering

Job description

Cerebras Systems seeks an experienced Mechanical Engineer to oversee mechanical infrastructure for data center deployments, ensuring designs meet performance, reliability, and schedule requirements. The role acts as the owner's technical representative, partnering with colocation providers, EPC contractors, OEMs, and internal teams to deliver world-class AI computing facilities.

Focus is on governance, design reviews, owner acceptance, fit-out integration, and operational readiness rather than

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