Website AI Fund
Most people who want to make something physical can’t bridge the gap between their idea and a usable CAD model. This role is to build a text-and-image-to-CAD system that turns natural language and sketches into editable, parametric 3D geometry with manufacturing constraints built in — starting with consumer product design.
What You’ll Build
- A workflow that accepts text prompts, sketches, or reference images and produces editable parametric geometry rather than a dead-end mesh.
- An iterative editing loop where conversational changes preserve the same underlying model instead of restarting from scratch.
- Manufacturing-aware constraints, geometry validation, or export flows that make the output usable in the real world.
- A focused interface for a concrete wedge such as cases, housings, brackets, or other consumer product parts.
What You’ll Do
- Own the prototype architecture across geometry generation, representation, editing, and user interaction.
- Translate ambiguous user intent into structured geometry operations and manufacturable outputs.
- Choose the right mix of foundation models, parametric systems, and deterministic geometry logic.
- Pressure-test the product with real builders, makers, or designers and learn where the workflow breaks.
- Work closely with AI Fund’s build team on product scope, technical risk, and the fastest route to strong user signal.
What You Need
- Deep experience in CAD/CAM, computational geometry, parametric modeling, simulation, computer graphics, or adjacent 3D systems.
- Strong engineering judgment about what should be generated by models and what should remain deterministic and editable.
- Comfort moving between backend systems, interface design, and domain-specific technical constraints.
- Current GenAI fluency and the ability to build quickly with modern AI tools without losing rigor.
- A bias toward working prototypes over conceptual demos.
- US work authorization. Visa sponsorship not available.
Helpful but Not Required
Experience with CADQuery, OpenSCAD, Parasolid, STEP workflows, FEA, or manufacturing toolchains. Background in additive manufacturing or consumer product design tools. Experience at Autodesk, Onshape, Shapr3D, or similar products.
Structure & Compensation
This is a 12-week, full-time, on-site residency in Mountain View, CA. Compensation is $10,000/month ($30,000 total) as a contract role. If the build validates, you become a co-founder — AI Fund writes a $1M check at a $4M valuation. Only candidates within commuting distance of Mountain View will be considered. The interview process includes a Builder Challenge.
To apply for this job please visit jobs.lever.co.
