AI-first, assembly-focused robotics that rebuilds American manufacturing—faster, more flexible, and ready for what’s next. Backed by Khosla Ventures.
About the role
Foundry's hardest hires are not engineers who answered a job post. They are roboticists and AI/ML researchers whose best work is a paper, a benchmark, or a lab demo — people who are not on the market, do not read job descriptions, and will only take a call from someone who understood what they actually built. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 8+ years of technical recruiting, including real time hiring research scientists or research engineers in robotics, AI/ML, autonomy, or an adjacent field
- You read the papers. You can explain what a candidate's work actually contributed, and a researcher would not wince at your summary
- You know the landscape — the labs, the advisors, the conferences, and how people move between them
- You have built faculty and lab relationships that produced hires, not just campus visits
- You are genuinely AI-efficient. You have built or run tooling that multiplied your own sourcing output, and you can walk us through your stack
- You are deeply interested in the technology itself. If what you want is a clean req and a target close date, this is the wrong seat
More about this role
Foundry Robotics is building an AI-native robotics manufacturing company focused on deploying advanced assembly and production capability for leading robotics companies and national-security-critical hardware. Basically, we're building robots that build robots. Our mission is to rebuild the American manufacturing industry as an AI-first, assembly-focused, dual-use contract manufacturer. As a founding member of our team, you will have a direct and significant impact on our product, culture, and ultimate success. This role is 100% in-person at our office in Emeryville, CA.
Foundry's hardest hires are not engineers who answered a job post. They are roboticists and AI/ML researchers whose best work is a paper, a benchmark, or a lab demo — people who are not on the market, do not read job descriptions, and will only take a call from someone who understood what they actually built.
This role exists because sourcing that population is a research discipline of its own. You will read the papers. You will know which labs are doing manipulation work that matters, which advisor's students keep landing at the same three companies, and which postdoc is finishing in the spring and has not told...
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