Performance Modeling Engineer
MatX · Mountain View (HQ) or Remote
CHECKED 8H AGO
Infrastructureremote$120k–$600k
At a glance
Highlights
- Translate AI accelerator architecture into detailed performance models.
- Automate tensor layouts for frontier LLMs to boost efficiency.
- Build tools and automations integrated with broader tech stack.
What they offer
- 4 weeks PTO + 12 company holidays
- Company-subsidized medical, dental and vision insurance
- 401K with up to 5% company contribution
- $1500 annual professional development budget
- Onsite lunch & dinner Monday-Friday and paid commute
- Up to 12 weeks paid parental leave
Ideal candidate
A systems-minded engineer passionate about AI hardware efficiency and LLM performance, who enjoys modeling architectures and collaborating across ML and software teams to turn insights into impact.
Requirements
- Strong background in performance modeling
- Working knowledge of latest LLM model architectures
- Experience with computer architecture, particularly AI accelerators
- 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