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Product Engineer / Manager

You will build and ship end-to-end product, from polished front-end experiences to back-end services and secure on-prem deployments, bringing AI-driven insights into real chip design workflows. This is a high-impact role where what you deliver becomes part of how world-class teams evaluate performance, optimize metrics like power efficiency, and virtual tape out next-generation semiconductors.

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​This role requires in-person work at our San Francisco or Taipei office.

Leafy Lab

Leafy Lab is redefining semiconductor design with explainable AI. Our technology aims to deliver 95%+ prediction accuracy and reduce chip development time by up to 50%. By combining AI, device physics, and semiconductor engineering, we build next-generation modeling and circuit design tools that address the industry’s hardest technical challenges. Our platform is trusted by the world’s top 10 chip design companies and backed by leading Silicon Valley investors. Every engineer directly shapes our product and the future of AI-driven chip design.

Key Responsibilities

  • Build and ship end-to-end product features across front-end, back-end, and data systems to accelerate chip time-to-market

  • Develop a polished user experience for engineers, including interactive views for performance analysis and decision making

  • Design and implement scalable APIs and services that connect AI/ML capabilities to customer-facing workflows

  • Translate AI model outputs into usable product experiences, including visualization, reporting, and workflow automation

  • Build and support on-prem deployments in secure customer environments, including packaging, configuration, observability, and upgrades

  • Own the full lifecycle from architecture and implementation to deployment, monitoring, and iteration

Qualifications

  • Bachelor's degree in Computer Science

  • 3+ years of full stack software engineering experience

  • Proficient in TypeScript and modern front-end frameworks (e.g., React), plus backend development (e.g., Python, Node.js)

  • Experience designing and building APIs, services, and data workflows for production systems

  • Strong product mindset and UI/UX instincts for building tools used by technical users

  • Ability to iterate quickly in a fast-paced startup environment with high ownership

Nice to Have

  • Experience building engineering or scientific software (e.g., EDA-adjacent tooling)

  • Familiarity with technical data visualization (e.g., Plotly, D3.js)

  • Experience with deployments and infrastructure (e.g., Docker, Kubernetes)

  • Understanding of semiconductor and circuit design workflows

  • Exposure to ML-enabled products, model integration, or evaluation pipelines

Why Join Leafy Lab

  • Real Industry Impact: Build tools used by global engineering teams to accelerate next-generation AI and chip development

  • Deep Technical Challenges: Tackle complex ML × device physics × EDA problems, including high-precision modeling and explainable AI

  • Full-Stack Technical Growth: Develop across chip design, device modeling, AI algorithms, and system-level tooling

  • High Ownership and Influence: Early engineers shape our architecture, product direction, and long-term technical vision

How to Apply

  • Send your resume, GitHub/portfolio (if available), and a brief note about a product you've built to business@leafylab.io with the subject line “Product Engineer / Manager – [NAME]”

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