Drimva

NVIDIA

Senior MEP Engineer – Datacenter Lab Infrastructure

$152K–$288K

US, CA, Santa Clara · Senior · Full-time · Posted Sep 1, 2026

Experience
8+ years of relevant MEP engineering experience, with at least 5 years focused on datacenter or critical facility infrastructure.
Education
BS degree in Mechanical Engineering, or related field (or equivalent experience)

About the job

Designs, implements, and operates datacenter-grade mechanical, electrical, and plumbing infrastructure for NVIDIA lab environments supporting product development.

What you'll do

  • Lead design and implementation of lab power, cooling, telemetry, and control infrastructure from planning through commissioning and operations.
  • Scale infrastructure for changing power and thermal demands, and collaborate with product and thermal engineering teams on lab designs.
  • Guide contractors and vendors through planning, procurement, and construction; establish standardized commissioning processes.

What they ask for

  • BS degree in Mechanical Engineering or related field, or equivalent experience.
  • 8+ years of relevant MEP engineering experience, including at least 5 years focused on datacenter or critical facility infrastructure.
  • Hands-on experience with direct liquid cooling (DLC/CDU), chilled water, and precision air cooling systems.
  • Experience with telemetry, control systems, and DCIM/BMS platforms; knowledge of datacenter power systems.

Nice to have

  • Experience supporting lab or R&D environments with evolving, high-density compute configurations.
  • PE license or equivalent professional certification; CFD/flow network modeling experience; familiarity with NVIDIA or comparable accelerated computing platforms and relevant codes and standards.

Pay

152,000 USD - 253,000 USD (base salary, Level 4); 184,000 USD - 287,500 USD (base salary, Level 5)

Tools

UPS, PDUs, switchgear, liquid cooling distribution systems, DCIM, BMS, direct liquid cooling (DLC/CDU), CFD

AI focus

The role builds lab infrastructure supporting AI and accelerated-computing hardware; NVIDIA also states that it uses AI tools in its recruiting processes.

Model-written summary · the original posting is authoritative

First seen Oct 16, 2026 · Last verified Nov 5, 2026 (UTC)