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Onsite IT Support

MatX · Mountain View (HQ) or Remote

CHECKED 9H AGO

Infrastructureremotemid-level$44k–$76k
Apply on the lab’s site ↗

At a glance

Highlights

  • Be the first point of contact for IT support for 100+ users.
  • Keep office technical infrastructure and conference rooms running.
  • Help make the world's best AI models run as efficiently as physics allows.

What they offer

  • 3-month fixed-term contract with conversion review to full-time employment
  • 4 weeks PTO plus 12 company holidays and up to 3 weeks remote work
  • Company-subsidized medical, dental, vision and life insurance plus HSA/FSA
  • 401K with up to 5% company contribution and company-paid disability insurance
  • $1500 annual professional development budget
  • Onsite lunch and dinner Monday-Friday plus 100% paid commute
  • Up to 12 weeks paid parental leave and mental health benefits via SpringHealth

Ideal candidate

Organized, self-starting IT support pro with 2-4 years in fast-paced environments who thrives on helping people, staying calm as priorities shift, and keeping systems running smoothly.

Requirements

  • 2-4 years of experience in IT support, help desk, or similar role
  • Experience with Google Workspace administration, GitHub, and Linux
  • Basic networking and security knowledge
  • Highly organized, detail-oriented with clear written and verbal communication
  • Able to learn new tools quickly and stay effective as priorities shift
  • Based in or willing to relocate to San Francisco Bay Area and work on-site in Mountain View 3 days per week
  • Able to handle sensitive and confidential information with discretion
remote policy
At least 3 days per week on-site in Mountain View

Lab profile

About MatX

Designs vertically integrated AI silicon and systems to run frontier models at physics-limit efficiency.

What they build

  • AI accelerator silicon for GenAI training and inference
  • Rack-scale AI data center systems
  • Full-stack silicon-to-software platform for large ML workloads

Known for

  • Vertically integrated silicon-to-systems design
  • AI accelerator architecture and performance modeling for LLMs
  • High-efficiency power architecture from chip to rack
  • Silicon verification and software-hardware co-verification
More about MatX →
Apply on the lab’s site ↗