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Infrastructure Engineer, Factory Acceleration

Etched · San Jose · Taipei

Infrastructureonsite
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At a glance

Highlights

  • Build factory test platform powering hundreds of AI boards and racks.
  • Own reliable pipelines capturing test history, yield and throughput.
  • Automate failure triage toward AI-assisted debug at scale.

What they offer

  • Competitive compensation with generous equity
  • Comprehensive insurance coverage
  • Top-of-market benefits

Ideal candidate

Infrastructure-minded builder who thrives on reliable, repeatable systems and enjoys owning factory floors like small datacenters. You collaborate closely with hardware and manufacturing partners to keep production moving.

Requirements

  • 3+ years experience building and operating production infrastructure
  • Strong Linux administration: boot process, systemd, storage, CLI debugging
  • Solid networking fundamentals: TCP/IP, DNS, DHCP, VLANs, VPNs, datacenter layouts
  • Experience with distributed systems running across many machines
  • Strong coding skills in Python, C++, or Rust building tools and services
  • Experience with automation and configuration management and CI/CD
  • Experience with monitoring and observability and debugging production issues
  • Bachelor's degree in Computer Science, Computer Engineering or equivalent experience
  • Willingness to work onsite in San Jose or Taiwan and travel to manufacturing partners

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 ↗

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