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Hardware System Diagnostic Engineer

MatX · Mountain View (HQ) or Remote

CHECKED 8H AGO

Infrastructureremotesenior$160k–$600k
Apply on the lab’s site ↗

At a glance

Highlights

  • Own end-to-end diagnostics test suite for accelerator boards and racks.
  • Enable manufacturing screening and debug for rack-scale AI data center product.
  • Track yield and quality metrics from manufacturing to customer deployment.

What they offer

  • 4 weeks PTO + 12 company holidays + up to 3 weeks remote work
  • Company-subsidized medical, dental, vision, life insurance plus HSA/FSA
  • 401K with up to 5% company contribution and company-paid disability insurance
  • $1500 annual professional development budget
  • Onsite lunch & dinner Monday-Friday and 100% paid commute
  • $50/mo flexible perk plus cell, internet and $1000 home setup reimbursement
  • 100% paid mental health benefit and up to 12 weeks paid parental leave

Ideal candidate

Self-directed systems diagnostician with 7+ years owning manufacturing test for complex hardware. Thrives in fast-moving startups, bridging engineering and manufacturing partners to drive yield and product robustness.

Requirements

  • 7+ years in systems diagnostics, hardware validation, or manufacturing test
  • Expert in Python and C/C++ for test automation and low-level device programming
  • Deep knowledge of PCIe, memory hierarchies, power management, and I/O
  • Proven experience managing test relationships with ODM/JDM or CM partners
  • Experienced building and scaling test automation frameworks from the ground up
  • Proficient with Linux system tools for hardware interrogation and fault analysis
  • Self-directed and effective in a fast-moving, low-overhead startup environment
  • Strong communicator across engineering, manufacturing, and executive audiences
remote policy
Up to 3 weeks remote work

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 ↗