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Nunchux AI

Product Engineer

Posted 2 Days Ago
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Hybrid
San Francisco, CA, USA
170K-240K Annually
Mid level
Hybrid
San Francisco, CA, USA
170K-240K Annually
Mid level
Build and launch full-stack product experiences for Nunchux Modelverse, including the model catalog, Playground, dashboard, API, SDK, documentation, frontend, backend, database, and deployment. Use product data and developer feedback to improve onboarding and generative AI workflows, instrument key user flows, debug developer issues, and rapidly prototype new tools. Collaborate closely with founders, designers, and customer-facing teams to ship reliable releases and technical content.
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About Nunchux AI

Nunchux AI builds infrastructure that makes multimodal generative AI faster and cheaper to serve, and easier to build on. Founded by MIT PhDs Muyang Li, Yujun Lin, and Zhekai Zhang with CMU Professor Jun-Yan Zhu, Nunchux brings together deep research expertise and production systems experience. Our work is built on nearly a decade of research from MIT and CMU, including nunchaku project, whose models have surpassed 4 million downloads. We have top VC backing, and we build for enterprises and for millions of developers.

The Role

Nunchux Modelverse is our live model hub and API platform for multimodal generative AI. We continue to add models, features, and developer workflows to it.

As a Product Engineer, you will turn Nunchux’s model roadmap into product experiences across Modelverse, the Playground, the developer dashboard, the API, the SDK, and the documentation. You will work with founders, designers, and other engineers to take a new model or feature from a product direction to a reliable release. You will also use product data and developer feedback to find friction and improve what is already live.

What You’ll Do
  • Build and launch: Turn new models and features into production-ready experiences across the model catalog, the Playground, the dashboard, the API, the SDK, the documentation, the frontend, the backend, the database, and the deployment.

  • Improve the experience: Use product data, developer feedback, and technical constraints to find improvements to model discovery, onboarding, and the core content-generation workflows. Work with the founders and the designers to scope and ship them.

  • Learn from launches: Instrument the key flows, find where developers hit errors or drop off, and make changes after launch.

  • Stay close to developers: Work with the founders and with customer-facing teammates to learn which developer questions and problems occur again and again. Help users make their first API call, and write the technical explainers or demos that go with major releases.

  • Move quickly: Build small demo apps, client libraries, comparison tools, or landing pages to test an idea before you commit to a larger build.

What You Bring
  • Full-stack experience: 4+ years of building and shipping production web products. You have made product decisions on a small team, not just implemented someone else's specification.

  • Technical range: Strong in TypeScript/JavaScript and Python. Comfortable owning a Next.js frontend as well as the API and database layer behind it, including Postgres and schema design.

  • Product judgment: Able to look at usage data, support threads, and customer feedback, then find a problem and recommend a practical way to fix it.

  • Developer empathy and writing: Comfortable debugging a developer's first experience and writing clear docs, specs, or technical posts.

  • Working style: Comfortable with unclear requirements and able to move from a live demo or a customer conversation to a production pull request without a large process around you.

Bonus Points
  • Experience at a developer-tools company, an API platform, or a product-led-growth startup.

  • A track record of launching a 0-to-1 feature or product at an early-stage company.

  • Open-source projects, technical writing, or side projects that show you can both build and explain.

  • Background in ML, systems, or applied research. You understand what model optimization means in practice.

Why Join
  • Ownership: Turn Nunchux's model roadmap into the product surfaces that developers use, and help make each launch complete and coherent.

  • A live platform: Work on real user problems, new model launches, and core developer workflows.

  • Proven traction: Build on open-source work with more than 4 million model downloads, and on growing industry partnerships.

  • The team: Work with world-class researchers from MIT, Berkeley, and CMU, and with industry veterans from NVIDIA, AMD, Snowflake, and Adobe.

  • Compensation: $170,000 to $240,000 USD base salary, plus equity and comprehensive benefits that include health insurance and a 401(k). Actual compensation will depend on relevant experience, skills, and qualifications.

Location: San Francisco, CA. 4 days in office, 1 day remote.

Start date: As soon as available.

Visa: We sponsor H-1B and other work visas for exceptional candidates.

Learn more: nunchux.ai

Apply: Please apply through our Ashby careers page.

Nunchux AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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