Etched

Supplier Quality Engineer (Taiwan) at Etched (Taoyuan, Taiwan)

Etched· Taoyuan, Taiwan·

Role details

Employment
Full-Time

Etched at a glance

Transformer-specific ASICs and rack-scale systems that hardwire the transformer into silicon for faster, cheaper AI inference.

Etched designs transformer-specific ASICs and full rack-scale inference systems. Its Sohu chip hardwires the transformer architecture directly into silicon, trading a GPU's general-purpose flexibility for far higher throughput, lower latency, and better power efficiency on AI inference. Customers buy complete co-designed clusters, chip plus rack plus software, not standalone chips.

$800M raised · latest: $500M · led by Stripes · Dec 2025 (reported Jan 2026) · backed by Stripes, Peter Thiel, Ribbit Capital, VentureTech Alliance

Job description

About Etched

Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history.

Job Summary Etched is hiring a Quality Engineer based in Taipei to ensure robust quality systems across our critical component suppliers, domestic contract manufacturing and integration partners (L10 server, L11 rack). You will own quality assurance for our advanced AI hardware builds—driving inspection and test strategies, resolving systemic issues, and ensuring that every system leaving the factory meets Etched’s standards for performance and reliability. This role will collaborate closely with Manufacturing Operations, Supply Chain, and Test Engineering, serving as the bridge between Etched HQ and factory teams. It is ideal for someone who enjoys being hands-on in the factory, while also establishing the scalable quality processes needed to support high-volume production.

Key Responsibilities

  • Lead quality assurance for overseas and asia based component suppliers, contract manufacturers and integrators (semiconductor, PCBA, L10 servers, L11 racks).
  • Establish and maintain incoming, in-process, and outgoing inspection processes to ensure compliance with Etched standards.
  • Partner with Test Engineering to define system-level test coverage, burn-in protocols, and reliability validation.
  • Drive failure analysis, root-cause investigations, and corrective/preventive actions (8D, CAPA).
  • Track, analyze, and report on quality metrics (yield, defect density, escapes, DPPM) to both engineering and operations stakeholders.
  • Participate in ECO reviews, configuration changes, and NPI build reviews to enforce quality gates.
  • Conduct supplier audits and ensure adherence to industry standards (ISO/AS, IPC).
  • Collaborate with Manufacturing Operations to scale line capability, training, and documentation.
  • Champion continuous improvement projects across yield, throughput, and defect reduction.

You may be a good fit if you have:

  • Hands-on experience supporting quality across L6 components, L10 server assembly, and L11 rack integration in partnership with Tier 1 contract manufacturers and/or ODMs.
  • Strong working knowledge of PCB/A manufacturing processes, including SMT, SPI, AOI, and X-ray inspection, with the ability to drive process improvements alongside manufacturing partners.
  • Demonstrated experience establishing and managing IQC, IPQC, and OQC quality systems in high-volume manufacturing environments.
  • Deep knowledge of structured quality methodologies including 8D, CAPA, FMEA, SPC, Cpk, control plans, and statistical process control.
  • Experience tracking and improving manufacturing quality metrics such as yield, DPPM, defect density, and production escapes.
  • Familiarity with server assembly, burn-in, and system-level test workflows.
  • Excellent cross-functional communication skills with the ability to drive alignment across engineering, operations, suppliers, and contract manufacturers.
  • Comfortable working on-site at supplier and CM factories, resolving production issues in real time.

Strong candidates may also have:

  • Familiarity with the 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.

Benefits

  • Competitive compensation packages, including generous equity packages
  • Comprehensive insurance coverage and other top-of-market benefit
  • US onboarding experience in our Silicon Valley headquarters

How we’re different

Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system. Our addressable market is the entirety of inference, unlike many of our competitors.

We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.

Why work at Etched

  • Mission-driven, high-impact engineering: “Building the hardware for superintelligence” – the company is solving one of the hardest problems in compute (inference efficiency) with a focused team.
  • Top-tier team and learning environment: Colleagues from Google, NVIDIA, Apple, Tesla, Broadcom, and Intel; exposure to full-stack chip-to-system design.
  • In-office culture: All roles are in-office (Cupertino and San Jose, CA). The company emphasizes on-site collaboration for hardware development. Notable perks are not heavily advertised, but compensation is competitive for the AI hardware space (equity-heavy).
  • Growth trajectory: 141% headcount growth YoY, hundreds of open roles, and a $5B valuation signal strong backing and career acceleration potential.
  • Intellectual challenge: Work on chip simulation, RTL design, system validation, or software infrastructure for cutting-edge AI inference.

Application questions