Product Quality Engineer
Etched · San Jose
CHECKED 8H AGO
Infrastructureonsitesenior$150k–$225k
At a glance
Highlights
- Own quality assurance for advanced AI hardware builds from chip to rack.
- Drive inspection, burn-in and system test strategies for inference hardware.
- 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 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
Ideal candidate
Hands-on quality engineer who loves being on factory floor and thrives bridging HQ and suppliers. Takes ownership of reliability for cutting-edge AI systems and builds scalable processes for high-volume ramp.
Requirements
- 5+ years of experience in quality engineering, supplier quality, or manufacturing quality supporting ASIC/chip, semiconductor, PCB/A, server, or other high-performance hardware products
- Hands-on experience supporting quality across L6 components, L10 server assembly, and L11 rack integration with Tier 1 CMs and/or ODMs
- Strong working knowledge of PCB/A manufacturing processes including SMT, SPI, AOI, and X-ray inspection
- Demonstrated experience establishing and managing IQC, IPQC, and OQC quality 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 production escapes
- Familiarity with server assembly, burn-in, and system-level test workflows
- Comfortable working on-site at supplier and CM factories resolving production 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