Bay Area, California, United States | Toronto, Ontario, CanadaFull-time1 wk. ago
**Job Title**
Scientist AI & Chip Design Engineer
**Scientist | AI & Chip Design**
We’re hiring teammates at the intersection of AI/ML and chip design—people who love building, move fast, and care about doing excellent work.
**About the role**
You’ll work at the boundary between our AI and hardware efforts to build systems that make chip design workflows better. You will:
- Build and iterate on data generation (including synthetic data) for chip-design tasks
- Train ML models
- Design robust evaluation methodology
- Integrate with hardware workflows
- Collaborate closely with engineers across AI + hardware + software, and own projects end-to-end
Locations: Bay Area (US) and Toronto (Canada)
Work style: In-person (both offices have a vibrant, builder-heavy culture)
**About you**
You have baseline knowledge in both domains:
- AI/ML: familiarity with deep learning + data/model development
- Chip design: basic understanding of circuit design and SystemVerilog implementations
And you have deep strength in at least one of:
- Data pipelines / data engineering
- Reinforcement learning (RL)
- UVM
- Formal verification
- SystemVerilog (advanced)
You’re collaborative, take initiative, and can lead when needed. We care that you’ve shown you can do exceptional work. Examples:
- You built a product or system that people used
- You made major contributions to a respected codebase / repo
- You’ve done meaningful work in a high-performing environment (such as top companies)
- You shipped a standout project end-to-end
- You have strong publications—or similarly rigorous proof of ability
- Or anything else that clearly demonstrates you can execute at a very high level
We love building. We want people who are passionate about their craft. We value a talent-to-ego ratio > 1.
**About us**
You’ll join a highly collaborative team working on a difficult, exciting problem. Collectively, our team has:
- Founded startups and scaled them to IPO
- Led development of products used by millions
- Earned 23,000+ scientific citations
- Held leadership roles at places like Google, NVIDIA, Amazon, Synopsys, and more
- Won medals in international science Olympiads
If you’re excited to tackle hard problems and build real systems, let’s connect.
CO