Data Center Infrastructure Mechanical Engineer (AI)

TL;DR

Data Center Infrastructure Mechanical Engineer (AI): Designing and scaling cooling and mechanical systems for high-density AI data centers with an accent on thermal architectures and liquid cooling. Focus on translating compute requirements into practical infrastructure designs, evaluating complex equipment, and driving technical decisions across facilities and operations.

Location: Onsite in San Francisco (including office, lab, and construction environments)

Salary: $257,000 – $327,000 + Equity

Company

An AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

• Define mechanical and cooling infrastructure requirements and reference architectures for AI data center campuses.
• Develop design narratives, P&IDs, thermal capacity models, and CFD analysis.
• Evaluate high-density compute architectures, including direct-to-chip liquid cooling and CDU topology.
• Lead technical evaluation of equipment vendors, manufacturers, and commissioning agents.
• Drive factory and site acceptance testing (FAT/SAT) for critical mechanical equipment.
• Design and operate an R&D laboratory to validate new cooling equipment and GPU rack designs.

Requirements

• 10+ years of relevant experience in data center mechanical engineering or mission-critical facilities.
• Deep expertise in chilled water systems, cooling towers, CDUs, and liquid distribution.
• Experience producing technical design packages, sequence-of-operations, and hydraulic studies.
• Bachelor's degree in Mechanical, Electrical, or Systems Engineering.
• Ability to work onsite in San Francisco, including labs and construction sites.

Nice to have

• Advanced degree in thermal sciences or fluid mechanics.
• Professional Engineer (PE) license or Chartered Engineer status.
• Direct experience with hyperscale data centers or immersion cooling.
• Experience with BMS, SCADA, and digital twins.

Culture & Benefits

• Competitive salary and equity packages.
• Opportunity to build the physical foundation for next-generation AI infrastructure.
• Collaboration with world-class research and hardware engineering teams.
• High-impact role driving technical standards for AI compute scalability.