AI Scientist | AI & Chip Design

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

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
• or made major contributions to a respected codebase / repo
• or have done meaningful work in a high-performing environment (such as top companies)
• or shipped a standout project end-to-end
• or have strong publications—or similarly rigorous proof of ability
• Or anything else that clearly demonstrates you can execute at a very high level

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 IPOLed development of products used by millions
• Held leadership roles at places like Google, NVIDIA, Amazon, Synopsys, and more
• Won medals in international science Olympiads