Supplier Quality Engineer (Taiwan)
Etched · Taoyuan
CHECKED 7H AGO
Infrastructureonsite
At a glance
Highlights
- Own quality assurance for advanced AI hardware builds from NPI to high volume.
- Drive inspection and test strategies for frontier AI inference systems.
- Serve as the bridge between Etched HQ and factory teams in Taiwan.
What they offer
- Generous equity packages
- Comprehensive insurance coverage
- US onboarding experience in Silicon Valley headquarters
Ideal candidate
Hands-on quality leader who thrives on the factory floor and loves turning chaotic NPI builds into scalable, high-yield production. Collaborative problem-solver passionate about reliability in cutting-edge AI hardware.
Requirements
- 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 PCBA 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
- Excellent cross-functional communication skills across engineering, operations, suppliers, and CMs
- Comfortable working on-site at supplier and CM factories resolving production issues in real time
- Familiarity with SMT and DIP process
- Exposure to thermal/power stress testing and system reliability engineering
- Prior experience ramping high-complexity systems from NPI into MP
- Engineering background in electrical, mechanical, or manufacturing domains
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