Software Engineer, Product

Normal Computing | Build with Us Normal is an applied AI company solving the hardest problems in AI and silicon. We build foundational hardware and software for the semiconductor industry, critical AI infrastructure, and the broader systems that power our world, in partnership with the world's most advanced institutions. We work as one team across New York City, Silicon Valley (Mountain View), London, Copenhagen, and Seoul. The Role As an AI Product Engineer at Normal, you will build AI-native products and workflows for semiconductor engineers. This role sits at the intersection of product engineering, AI systems, and developer tooling. You'll ship real improvements to hardware teams who want to design and verify chips more efficiently, while pushing the boundaries of what's possible in AI for engineering through innovations in interface and workflow design, data modeling, and harness engineering. What You Will Own UX & AX: Architect interfaces and workflows that make highly technical systems intuitive and usable for chip engineers, as well as the agentic system they use. Partnership: Partner closely with AI engineers, researchers, hardware engineers, and users to turn ambiguous workflow problems into clear requirements, explicit system behaviors, evaluation criteria, and working product features. End to End Product: Understand the user problem and define the workflow th [... source excerpt omitted ...] product experiences for complex engineering workflows, taking them from initial prototype through the final layers of usability, reliability, performance, and polish required for production adoption. Raise the Quality Bar: Identify subtle workflow, UX, and architectural weaknesses that make a system merely functional rather than genuinely effective. AI-Native Execution: Use AI systems to accelerate implementation, exploration, testing, and analysis while maintaining clear ownership of requirements, verification, and final quality. What Makes You a Great Fit 5+ years of experience building and shipping full stack products, ideally in fast-moving startup or zero-to-one environme