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Product Quality Engineer

Etched · San Jose

CHECKED 8H AGO

Infrastructureonsitesenior$150k–$225k
Apply on the lab’s site ↗

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
More about Etched →
Apply on the lab’s site ↗