3 часа назад
AI Product Engineer (Semiconductor)
200 000 - 400 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Product Engineer (Semiconductor): Build AI-native products and workflows for semiconductor engineers with an accent on full-stack product engineering, developer tooling, and AI systems. Focus on designing complex engineering workflows, integrating frontend, backend, data, and AI systems, and improving usability, reliability, performance, and production quality.
Location: Hybrid in New York City, London, or Silicon Valley
Salary: $200K–$400K annually, plus equity
Company
is an applied AI company building foundational hardware and software for the semiconductor industry, critical AI infrastructure, and broader systems engineering.
What you will do
- Build AI-native products and workflows that help semiconductor engineers design and verify chips more efficiently.
- Architect intuitive interfaces and workflows for chip engineers and the agentic systems they use.
- Partner with AI engineers, researchers, hardware engineers, and users to define requirements, system behaviors, evaluation criteria, and product features.
- Own product development end to end across frontend, backend, data, and AI systems, from prototyping through deployment, evaluation, and iteration.
- Improve product usability, reliability, performance, architectural quality, and production readiness.
- Use AI systems to accelerate implementation, testing, exploration, and analysis while maintaining ownership of verification and final quality.
Requirements
- 5+ years of experience building and shipping full-stack products, ideally in startup or zero-to-one environments.
- Strong proficiency in TypeScript and React, with a deep understanding of modern frontend architecture and web technologies.
- Experience building backend systems in Python, Node.js, or other popular languages and contributing across the stack.
- Experience building AI-powered products, working with LLMs, or collaborating closely with ML teams.
- Strong product and engineering judgment, including the ability to identify UX regressions, edge cases, and long-term architectural costs.
- Ability to work effectively in ambiguous environments, turn evolving product direction into concrete plans, and deliver reliably.
Nice to have
- Experience in the semiconductor industry or building software for hardware engineering workflows.
- Experience with developer tools, workflow systems, IDE extensions, or highly technical products.
- Familiarity with harness engineering, orchestration systems, or evaluation tooling.
- Experience with visual design or polished, user-centric interfaces.
- Experience as an engineering manager or owning a product end to end.
Culture & Benefits
- Work as part of a cross-functional team spanning AI, research, hardware engineering, and product development.
- Collaborate across offices in New York City, San Francisco, London, Copenhagen, and Pangyo.
- Competitive and equitable compensation reviewed regularly for fairness.
- Inclusive equal-opportunity workplace with reasonable accessibility accommodations.
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