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.