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Silicon Validation Engineer

MatX · Mountain View (HQ) or Remote

CHECKED 7H AGO

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

At a glance

Highlights

  • Own silicon bring-up from first power-on through production readiness.
  • Build vertically integrated silicon to systems for largest ML workloads.
  • Validate chip and SiP functionality, performance and system behavior.

What they offer

  • 4 weeks PTO accrued plus 12 company holidays
  • Company-subsidized medical, dental, vision and life insurance
  • 401K with up to 5% company contribution plus disability coverage
  • $1500 annual professional development budget
  • Onsite lunch and dinner Monday-Friday and paid daily commute
  • Up to 12 weeks paid parental leave and mental health benefits

Ideal candidate

Hands-on validator who thrives on first-silicon bring-up and chasing complex cross-functional failures to root cause. Collaborative owner excited to build best-in-class AI compute from silicon to systems.

Requirements

  • Strong hands-on experience in silicon validation, post-silicon bring-up, hardware emulation, Top-level DV, or related field
  • Experience validating complex SoCs, accelerators, or highly integrated silicon products
  • Strong understanding of digital hardware, SoC architecture, and hardware-firmware interaction
  • Proven ability to debug complex cross-functional failures and drive them to root cause
  • Experience working with real silicon and lab platforms
  • Familiarity with firmware, embedded software, drivers, and low-level hardware access
  • Ability to read and understand C or C++ code for debug purposes
  • Python or similar scripting experience
  • Ability to read specifications, register descriptions, validation plans, and relevant RTL
  • Strong ownership, communication, and cross-functional collaboration skills
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 ↗