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IT Engineer

Etched · San Jose

CHECKED 6H AGO

Infrastructureonsitesenior$150k–$250k
Apply on the lab’s site ↗

At a glance

Highlights

  • Enable cutting-edge chip development workflows across the whole company.
  • Protect sensitive chip design IP with secure network infrastructure.
  • Support large-scale simulations and hardware workflows with compute resources.

What they offer

  • Medical, dental, and vision packages with generous premium coverage
  • $500 per month credit for waiving medical benefits
  • $2,500 per month housing subsidy for those living within walking distance of the office
  • Relocation support for those moving to San Jose
  • Wellness benefits covering fitness, mental health, and more
  • Daily lunch + dinner in office
  • Unlimited compute budget subject to ROI justification

Ideal candidate

Proactive, ownership-driven IT generalist with startup experience who thrives supporting engineers in fast-paced environments and cares deeply about operational excellence and frictionless productivity.

Requirements

  • 5-7+ years in an IT support or engineering role with experience across macOS, Windows and Linux
  • Excellent problem-solving skills, with a proactive and ownership-driven mindset
  • Experience working in a fast-paced startup environment
  • Proven experience with endpoint management tools (e.g., JumpCloud, Jamf, Intune, Kandji)
  • Hands-on expertise in enterprise VPNs, wireless networking, and zero-trust access models
  • Strong background in EDR/XDR platforms (e.g., ThreadDown, CrowdStrike, SentinelOne)
  • Scripting and automation proficiency (Python, Bash, PowerShell)
  • Knowledge of security best practices, incident response, and identity/access management (IAM)
  • Strong networking expertise, including configuring and troubleshooting TCP/IP, DNS, DHCP, VLANs, and firewalls
  • Exposure to cloud platforms (AWS, Azure, GCP) or developer-oriented compute infrastructure is a plus
remote policy
Fully in-person team in San Jose

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 ↗