Sr. Thermal Engineer, Liquid Cooling Systems
Etched · San Jose
CHECKED 7H AGO
Infrastructureonsitesenior$200k–$250k
At a glance
Highlights
- Lead liquid cooling design for high-performance AI inference data center products.
- Design direct-to-processor water cooling for high-power AI processors.
- Explore advanced cooling concepts like phase-change for frontier systems.
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 living within walking distance of the office
- Relocation support for moving to San Jose (Santana Row)
- Wellness benefits covering fitness and mental health
- Daily lunch + dinner in the office
- Unlimited compute budget subject to ROI justification
- Significant equity
Ideal candidate
A seasoned thermal engineer who loves solving tough cooling challenges for cutting-edge AI hardware and thrives collaborating in-person with multidisciplinary teams to deliver reliable, high-performance systems.
Requirements
- Bachelor's degree in Mechanical Engineering or Thermal Engineering, or related field
- Minimum of 10 years of experience in thermal engineering with focus on water cooling systems
- Proven expertise in designing and managing direct-to-processor cooling systems
- Extensive experience with internal manifolds, quick disconnects, CDUs and heat exchangers
- Proficiency in thermal simulation tools and techniques to predict thermal performance
- Knowledge of thermal interface materials (TIMs) and heat sink designs
- Experience with advanced thermal cooling concepts and technologies
- remote policy
- Fully in-person, no remote
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