Thermal Engineer, Rack Level
Etched · San Jose
Infrastructureonsitesenior$200k–$250k
At a glance
Highlights
- Own thermal design and validation for liquid-cooled L11 inference racks.
- Define fill, commissioning and bring-up for datacenter deployments.
- Validate reference CDUs and guide facility cooling integration.
What they offer
- Medical, dental, and vision packages with generous premium coverage
- $500 per month credit for waiving medical benefits
- Housing subsidy of $2k per month for those living within walking distance of the office
- Relocation support for those moving to San Jose (Santana Row)
- Various wellness benefits covering fitness, mental health, and more
- Daily lunch and dinner in our office
- Unlimited compute budget subject to ROI justification
- Significant equity
Ideal candidate
Hands-on thermal engineer with 5-10 years commissioning liquid cooling in real datacenters who thrives at the messy interface between spec and white space and enjoys working directly with customers and suppliers.
Requirements
- 5-10 years of experience in thermal or mechanical engineering with direct, hands-on CDU and datacenter liquid cooling experience
- Experience installing, commissioning, or validating liquid cooling systems at datacenter scale
- Experience with CDU validation and commissioning, including flow, pressure, temperature, and controls testing
- Strong working knowledge of datacenter cooling loops (facility water and technology cooling system / secondary loops) and the control systems that run them
- Comfort working directly with customers, facility teams, and suppliers to resolve integration issues
- Bachelor's degree in Mechanical Engineering, Thermal Engineering, or a related field
- remote policy
- On-site only
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
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