Drimva

MatX

Mechanical Engineering Lead - AI Rack Scale Systems

$160K–$600K

Mountain View (HQ) or Remote · Hybrid · Full-time · Posted Aug 28, 2026

Experience
15+ years.
Visa sponsorship
Employment is contingent on the applicant being able to perform job functions in compliance with U.S. export control laws without obtaining a license from U.S. export control authorities.

About the job

Leads mechanical design, thermal architecture, and production integration of MatX’s rack-scale AI compute platform.

What you'll do

  • Own mechanical design and rack-level integration of compute trays, enclosures, and liquid-cooled systems from concept through production.
  • Lead mechanical engineers and JDM/ODM partners on drawings, tolerance analysis, qualification, manufacturing, and test plans.
  • Guide liquid-cooling qualification, reliability testing, standards compliance, and development of the mechanical/thermal team.

What they ask for

  • 15+ years of mechanical engineering experience in server, data center, or AI compute hardware, including hands-on tray- and rack-level design.
  • Experience leading rack-scale hardware design delivered to OCP Open Rack standards.
  • Experience in volumetric, tolerance-stack, and FEA analysis; liquid-cooling integration; and DFMA across named manufacturing processes.
  • Experience with sustainable manufacturing compliance, test fixtures and setups, and leading ODM/JDM assembly-line setup through EVT, DVT, PVT, and MP.

Nice to have

  • Experience with high-power AI accelerator platforms or OCP ORV3/ORW platforms and contributions.
  • Rack-scale direct-to-chip liquid cooling, high-volume manufacturing with Taiwan or China JDM/ODM partners, or RDHx integration.

Pay

$160,000 - $275,000 USD base salary; $175,000 - $400,000 USD base salary; $250,000 - $600,000 USD base salary

Tools

OCP, ORV3, ORW, DFMA, FEA, EVT, DVT, PVT

AI focus

Mechanical and thermal design and production integration of rack-scale AI compute infrastructure for large-scale LLM training and inference.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)