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Design Verification Engineer

MatX · Mountain View (HQ) or Remote

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

At a glance

Highlights

  • Build best-in-class silicon for high-performance, sustainable GenAI.
  • Own subsystem and chip-level verification through to design freeze and tapeout.
  • Drive scalable verification across blocks, subsystems, full-chip and system.

What they offer

  • Flexible cash and equity compensation mix
  • Company subsidized health, dental, vision and life insurance
  • 4 weeks paid time off plus 12 company holidays
  • Up to 12 weeks paid parental leave plus $6K Family Fund
  • $1,500 yearly professional development budget
  • 401K and/or Roth IRA with 5% company contribution
  • $50 per month MatX Extras perks plus home setup and wifi reimbursement

Ideal candidate

A detail-driven silicon builder who thrives owning complex verification to tapeout. Motivated by efficient, sustainable GenAI hardware and seeing architecture become production silicon.

Requirements

  • Concept-to-silicon experience driving verification from architecture/design spec to production silicon
  • Experience with SystemVerilog, Python, C/C++, Bluespec and similar for verification and modeling
  • Production experience with UVM, assertion-based verification, formal and simulated verification
  • Production experience creating portable tests and drivers for silicon validation and post-silicon debug
  • Strong understanding of micro-architecture for high-performance compute, memory management and connectivity
  • 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
Hybrid with remote work Monday and Friday

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 ↗

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