Product Engineer
Quick facts
- Pay
- $170,000 - $240,000 USD base salary
- Type
- Full-time
- Location
- San Francisco, California
- Skills
- Python, JavaScript, TypeScript
- Industry
- Information Technology — 671 open jobs
- Visa in listing
- H-1B
- Apply
- Free to apply — never pay anyone for a job offer or visa sponsorship
Job description
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.
Visa sponsorship record: Nunchux AI, Inc.
Sponsors occasionally| Fiscal year | H-1B LCAs | USCIS approvals | USCIS denials | PERM |
|---|---|---|---|---|
| FY2026 | 3 | 1 | 0 | — |
This exact kind of role (Engineers, All Other) isn't among the roles Nunchux AI, Inc. sponsored most often.
Roles they sponsor most
- chief system architect1 LCA · median $310k
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Which visas can work for this job
Occupation: Engineers, All Other (SOC 17-2199) — estimated from the job title.
- Mentioned in the listing
H-1B
- H-1B cap-exempt employer
Regular cap-subject employer — a new H-1B needs to win the lottery in March (unless you already hold cap-counted H-1B status).
- TN (citizens of Canada and Mexico)
This kind of role may fit the USMCA profession “Engineer” — it depends on the actual duties. No lottery, no cap; you need the matching degree or license.
- E-3 (Australia) and H-1B1 (Chile, Singapore)
Same degree requirement as H-1B, but no lottery and a separate quota that is rarely filled.
- O-1 (extraordinary ability)
For candidates with awards, publications, press, a high salary or critical roles at distinguished organizations. No cap, no lottery; the employer files a petition.
- STEM OPT extension (F-1 students)
Requires an E-Verify employer. We didn't find this company in the E-Verify list — ask HR.
Salary vs prevailing wage
Level III (experienced)Engineers, All Other · San Francisco-Oakland-Fremont, CA. Annual prevailing wages set by the Department of Labor (OFLC).
| Level | Prevailing wage | H-1B lottery odds* |
|---|---|---|
| Level I | $98,051 | ~15% |
| Level II | $130,146 | ~31% |
| Level III | $162,261 | ~46% |
| Level IV | $194,355 | ~61% |
This job pays $170,000–$240,000 a year — that's Level III (experienced). In the wage-weighted H-1B lottery a Level III registration gets 3 entries; estimated selection chance about 46% — better than average.
* Odds are DHS projections for the FY2027 wage-weighted lottery (actual results vary by year and employer). Since the FY2027 cap season the H-1B lottery is weighted by wage level: Level I = 1 entry, II = 2, III = 3, IV = 4. The level is set by the offered wage against the prevailing wage for the occupation and worksite. Separately, a $100,000 fee for new H-1B petitions for workers outside the US was announced in 2025; as of September 2026 a federal court ruling keeps it unenforceable while appeals continue — check the current status.
Sources: U.S. Department of Labor OFLC disclosure data (H-1B/H-1B1/E-3 LCA, PERM), OFLC prevailing wage data, USCIS H-1B Employer Data Hub, E-Verify participating employers. Data loaded: LCA FY2024–FY2026, PERM, USCIS Data Hub, OFLC wages; updated 2026-10-03. Employers are matched by name, so records of companies with similar names can occasionally be mixed up. This is general information, not legal advice — talk to an immigration attorney about your case.