· 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.