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Design Verification Engineer

MatX · Mountain View (HQ) or Remote

CHECKED 9H AGO

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

At a glance

Highlights

  • Build best-in-class silicon to run the world's best AI models efficiently.
  • Own verification execution across blocks, subsystems and full-chip validation.
  • Drive verification closure toward design freeze and tapeout milestones.

What they offer

  • 4 weeks PTO + 12 company holidays + up to 3 weeks remote work
  • Company-subsidized medical, dental, vision and life insurance plus HSA/FSA
  • 401K with up to 5% company contribution plus paid life and disability
  • $1500 annual professional development budget
  • Onsite lunch & dinner Monday-Friday and 100% paid daily commute
  • Up to 12 weeks paid parental leave and pregnancy disability leave
  • 100% paid mental health benefit via SpringHealth and EAP

Ideal candidate

A hands-on silicon verification engineer who has taken chips from concept to production and cares about efficient, high-performance GenAI hardware. You enjoy owning verification closure and collaborating through debug and bring-up to tapeout.

Requirements

  • Concept-to-silicon experience driving verification from architecture/design spec to production silicon
  • Experience with SystemVerilog, Python, C/C++, Bluespec and similar languages for verification and modeling
  • Production experience with UVM, assertion-based verification, formal and simulated verification
  • Production experience creating portable tests and drivers for verification and post-silicon debug
  • Strong understanding of micro-architecture for high-performance compute, connectivity and memory management
  • Familiarity with emulation and prototyping platforms and methodologies is a plus
  • Hands-on experience with silicon debug and bring-up is a plus
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 ↗