Etched

Logistics Analyst (Taiwan) at Etched (Taipei, Taiwan)

Etched· Taipei, Taiwan·

Role details

Work type
Onsite
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 seeking a detail-oriented and analytically minded Logistics Analyst to support and scale our global logistics operations from our Taipei hub. This role will focus on shipment tracking, data analysis, cost and lead-time visibility, and day-to-day operational support across international suppliers, contract manufacturers, and logistics partners.

This is an ideal role for an individual who wants hands-on exposure to global hardware logistics, cross-border shipping, and operational analytics in a fast-paced, high-growth environment.

Key responsibilities

  • Track and manage inbound and outbound shipments from end to end - from origin pickup through destination receiving - across global suppliers, contract manufacturers, warehouses, and end destinations.
  • Keep shipment, delivery, and inventory receipt records accurate in our ERP and internal platforms, including complete documentation for every shipment.
  • Monitor shipment status, lead times, and delivery performance. Flag risks and exceptions early, before they become delays.
  • Coordinate with freight forwarders, customs brokers, and warehouse partners to resolve delays and discrepancies.
  • Review international shipping documentation for accuracy — commercial invoices, packing lists, and Incoterms alignment.
  • Build and maintain recurring reporting on transit times, on-time delivery, logistics cost, and exceptions.
  • Support inventory control across our Taiwan office, 3PL warehouses, and contract manufacturers.
  • Document and improve logistics SOPs. Spot manual processes and data gaps, then propose fixes or automation.
  • Work closely with Supply Chain, Manufacturing, Finance, and Operations across time zones, especially with Asia-based suppliers and partners.

You may be a good fit if you have (Must-have qualifications)

  • Bachelor's degree in Logistics, Supply Chain, Business, Engineering, Economics, or a related field.
  • 2–5 years in logistics, freight forwarding, supply chain analytics, or import/export operations.
  • Hands-on experience coordinating international import and export shipments.
  • Working knowledge of Taiwan import/export regulations, customs clearance, and domestic shipping, plus international freight forwarding and shipping documentation.
  • Familiarity with air freight, ocean freight, and express courier, and a solid grasp of Incoterms and international trade practice.
  • Strong analytical skills and comfort working with operational data. Proficiency in Excel or Google Sheets (lookups, pivots, basic modeling).
  • Sharp attention to detail, and the ability to track many shipments and data streams at once.
  • Clear written and verbal communication with suppliers, partners, and internal teams.
  • Professional proficiency in English and Mandarin, written and spoken.

Strong candidates may also have experience with (Nice-to-have qualifications)

  • Experience in high-availability or mission-critical environments — compute, manufacturing, robotics, or aerospace — particularly supporting server, networking, or AI hardware deployments at scale.
  • Experience handling high-value, time-sensitive, or controlled shipments.
  • Familiarity with ERP, TMS, or shipment tracking systems.
  • Comfort operating in ambiguity and influencing without authority.

Benefits

  • Competitive compensation packages, including generous equity packages
  • Comprehensive insurance coverage and other top-of-market benefits

How we’re different

Etched believes in the Bitter Lesson incompleteideas.net/BitterLesson.html. We are the first inference-focused frontier AI system, betting early on transformer and transformer-like architectures and on increasing model sizes. Our addressable market is the entirety of inference, unlike many of our competitors.

We are a fully in-person team in San Jose and Taipei, 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