Design Verification Engineer
MatX · Mountain View (HQ) or Remote
Infrastructureremote$160k–$600k
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
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