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Thermal /Mechanical Hybrid Engineer

Etched · San Jose

CHECKED 7H AGO

Infrastructureonsitesenior
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At a glance

Highlights

  • Build thermal systems for inference-focused frontier AI hardware.
  • Lead design of direct-to-chip cold plate modules in-house.
  • Co-design chips, racks, software and manufacturing for throughput.

What they offer

  • Medical, dental, and vision packages with generous premium coverage
  • $500 per month credit for waiving medical benefits
  • $2,500 per month housing subsidy for those living within walking distance
  • Relocation support for those moving to San Jose
  • Wellness benefits covering fitness, mental health, and more
  • Daily lunch + dinner in office
  • Unlimited compute budget subject to ROI justification

Ideal candidate

A hands-on thermal-mechanical engineer with deep cooling experience who loves owning hardware end-to-end and pushing performance for frontier AI systems in a collaborative in-person team.

Requirements

  • Bachelor's degree in Mechanical Engineering or Thermal Engineering, or related field
  • Minimum of 5 years of experience in thermal and mechanical engineering with focus on water cooling
  • Proven expertise designing direct-to-chip / direct-to-processor cold plate modules
  • Experience with water cooling systems including manifolds, quick disconnects, CDUs and heat exchangers
  • Ability to run liquid thermal simulations to predict thermal performance
  • Proficiency in mechanical CAD such as NX, Creo, CATIA or similar
  • Proficiency in mechanical tolerances and GD&T drawings
  • Knowledge of thermal interface materials (TIMs) and heat sink designs
  • Experience with advanced cooling concepts including phase change and liquid cooling
  • Apply DFM and DFA principles for manufacturing and assembly
remote policy
Fully in-person

Lab profile

About Etched

Building specialized AI chips and systems for frontier inference with best-in-class throughput and latency.

What they build

  • Sohu AI inference chip
  • AI racks and hardware systems
  • Inference software stack

Known for

  • Full-stack co-design of chips, racks, software and manufacturing
  • Best-in-class throughput and latency for prefill and decode
  • Inference-optimized architecture

Key facts

  • Backed by hundreds of millions from top-tier investors
More about Etched →
Apply on the lab’s site ↗