Scientist AI & Chip Design
Job Description
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:
1. AI/ML: familiarity with deep learning + data/model development
2. 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.
How to Apply
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This role is with Cognichip in Toronto.
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