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Scientist AI & Chip Design

Cognichip

Toronto, Canada

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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.

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