Thermal Manufacturing Engineer
Etched · San Jose
CHECKED 6H AGO
Infrastructureonsitesenior
At a glance
Highlights
- Build liquid cooling hardware for frontier AI inference systems.
- Own thermal components from prototype to high-volume production.
- Co-design chips, racks, software and manufacturing for AI infrastructure.
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 near office
- Relocation support to San Jose (Santana Row)
- Wellness benefits for fitness and mental health
- Daily lunch and dinner in office
Ideal candidate
Hands-on manufacturing engineer with deep cold-plate experience who thrives owning processes end-to-end and partnering with suppliers and design teams to scale reliable liquid cooling for AI hardware.
Requirements
- 7+ years in manufacturing, process, or thermal systems manufacturing with hands-on liquid cold plate or heat exchanger production
- Expertise in 2+ cold plate fabrication processes: skiving, vacuum brazing, friction stir welding, diffusion bonding, gun drilling, extrusion
- Strong understanding of aluminum and copper alloys, braze alloy selection, and metallurgical failure modes
- Experience qualifying cold plate manufacturers and running Cpk and GR&R studies for leak rate, flatness, pressure drop, thermal resistance
- Hands-on cold plate inspection and test: helium leak, hydrostatic pressure, flow/pressure-drop, flatness measurement
- Experience with DFM/DFY reviews for cold plate and liquid cooling designs
- Track record driving root cause and corrective action for cold plate defects in production
- Experience working with contract manufacturers and thermal suppliers, preferably in Asia
- Familiarity with system-level liquid cooling architectures including CDU-based direct liquid cooling
- Strong documentation skills: PFMEA, control plans, work instructions, FAIRs
- Bachelor's degree in Mechanical, Materials Science, Manufacturing Engineering or related field
- 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