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Scientist | AI
24 minutes ago
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. Responsibilities Build and iterate on data generation (including synthetic data) for chip-design tasks 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 Baseline knowledge in both domains: AI/ML (familiarity with deep learning + data/model development) and chip design (basic understanding of circuit design and SystemVerilog implementations) Deep strength in at least one: Reinforcement learning (RL) Collaborative, takes initiative, can lead when needed Examples of outstanding work Built a product or system that people used Made major contributions to a respected codebase / repo Done meaningful work in a high‑performing environment (such as top companies) Shipped a standout project end‑to‑end Strong publications—or similarly rigorous proof of ability Or anything else that clearly demonstrates you can execute at a very high level About us 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. Seniority level Mid‑Senior level Employment type Full‑time Job function Research and Engineering Industries Semiconductor Manufacturing and Software Development #J-18808-Ljbffr
