We're building AI agents to automate manufacturing engineering workflows: Bill of Process generation, DFM/DFA analysis, manufacturability reviews, process planning. Right now, our AI makes mistakes constantly. You're the feedback loop that fixes that.
Your job: Review what our AI generates on real manufacturing problems, identify exactly what's wrong or unrealistic, and translate that into structured data that makes our models smarter.
What You'll Do
- Review AI-generated Bills of Process, DFM/DFA recommendations, tooling suggestions, and manufacturability analyses
- Physically build, mock up, or test manufacturing processes the AI proposes—understand what fails in the real world
- Translate repeated failure modes into structured feedback for the AI team
- Work hands-on in our software, evaluating real manufacturing workflows
- Partner with AI engineers to turn manufacturing intuition into training data and product improvements
- Serve as the internal manufacturing authority for the AI team
Who You Are
Experience:
- 3–6+ years in manufacturing engineering or NPI
- Personally taken an electromechanical product (robotics, drones, aerospace, EVs, industrial equipment) from prototype to production
- Worked across multiple products/companies, not just one
- Owned manufacturing decisions end-to-end in a startup or small-team environment
Skills:
- Read CAD/BOM packages and define Bills of Process from scratch
- Hands-on DFM/DFA experience—walked floors, driven design changes
- Comfortable with AI/LLM tools (Claude, ChatGPT, Cursor)
- BS in Mechanical, Manufacturing, or Industrial Engineering (or equivalent)
Traits:
- Can articulate why a manufacturing process works or fails to non-manufacturing audiences
- Excited by the idea of turning manufacturing intuition into AI systems
- Formula SAE, Baja SAE, rocketry, robotics, or similar hands-on project experience is a bonus
- U.S. citizen (required for contractor access)