CNC Machinist
Etched · San Jose
CHECKED 7H AGO
Infrastructureonsite
At a glance
Highlights
- Build in-house quick-turn prototyping shop for frontier AI inference hardware.
- Take parts from design to finished metal the same week, sometimes same day.
- Help assemble and integrate prototype systems and racks for AI infrastructure.
What they offer
- Medical, dental, and vision packages with generous premium coverage
- $500 per month credit for waiving medical benefits
- Housing subsidy of $2.5k per month for those living within walking distance
- 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
Ideal candidate
A hands-on prototype machinist/fabricator who thrives on variety and speed, owning jobs end-to-end. You love fast iteration, shaping a new shop, and working shoulder-to-shoulder with engineers in a startup.
Requirements
- Trade school, apprenticeship, or journeyman machinist certification
- Experience with Fusion 360 or Mastercam and Haas controls
- Sheet metal fabrication experience: CNC press brake setup/operation, waterjet or laser cutting
- TIG and/or MIG welding proficiency on aluminum and steel
- Background in prototype, R&D, or quick-turn job shop environments
- Experience owning tool crib inventory and tooling purchases
- Basic CAD ability (Fusion 360, SolidWorks, or similar) for fixture design
- Experience machining thermal/cooling components or server/rack hardware
- Comfort in a fast-moving startup environment with shifting priorities
- Willingness to work extended hours and occasional weekends
- Ability to lift up to 50 lbs and stand for extended periods
- Ability to obtain forklift certification
- 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