Design Verification Engineer
MatX · Mountain View (HQ) or Remote
CHECKED 9H AGO
Infrastructureremote$160k–$600k
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