Product Quality Engineer
Etched · San Jose
Infrastructureonsitesenior$150k–$275k
At a glance
Highlights
- Own quality assurance for advanced AI inference hardware from chips to racks.
- Bridge HQ and factory teams to ensure every system meets reliability standards.
- Establish scalable quality processes to support high-volume production ramp.
What they offer
- Medical, dental, and vision packages with generous premium coverage
- $500 per month credit for waiving medical benefits
- Housing subsidy of $2,500 per month for those living near the office
- Relocation support for those moving to San Jose (Santana Row)
- Wellness benefits covering fitness, mental health, and more
- Daily lunch and dinner in the office
- Unlimited compute budget subject to ROI justification
Ideal candidate
Hands-on quality leader with 5+ years in high-performance hardware who thrives on the factory floor. You love building scalable processes, solving systemic issues cross-functionally, and ensuring complex systems ship reliably.
Requirements
- 5+ years in quality, supplier quality, or manufacturing quality for ASIC/chip, semiconductor, PCB/A, server or high-performance hardware
- Hands-on experience with L6 components, L10 server assembly, and L11 rack integration with Tier 1 CMs/ODMs
- Strong knowledge of PCB/A manufacturing including SMT, SPI, AOI, and X-ray inspection
- Experience establishing and managing IQC, IPQC, and OQC systems in high-volume manufacturing
- Deep knowledge of 8D, CAPA, FMEA, SPC, Cpk, control plans, and statistical process control
- Experience tracking and improving yield, DPPM, defect density, and escapes
- Familiarity with server assembly, burn-in, and system-level test workflows
- Excellent cross-functional communication across engineering, operations, suppliers, and CMs
- Comfortable working on-site at supplier and CM factories to resolve issues in real time
- 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
Posted · Last seen