**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.