IT Engineer
Etched · San Jose
CHECKED 6H AGO
Infrastructureonsitesenior$150k–$250k
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