We're an applied research lab working towards a future where engineers can use natural language to do CAD tasks end-to-end. With high-level commands like "Hey Camfer, design a gearbox w/ a 3:1 ratio for this motor!", our agents will autonomously design the system, source off-the-shelf parts, and create drawings to be sent off for manufacturing (like Jarvis for Ironman). Last fall, we won both Y Combinator's internal demo day and OpenAI's o1 hackathon! Here's a clip of Sam Altman talking about Camfer.
Our first step is creating a tool that allows engineers to use text, images, and mechanical drawings to generate feature-rich CAD models directly in SolidWorks and Onshape. We've got a few pilot users at companies like Physical Intelligence using our v0.
We're a small, young team of software devs and researchers who have a love for CAD and design. Our founders are FRC world champions, UC Berkeley alumni / researchers, ex-AWS, and ex-Meta.
We finished YC in October and raised a $4.8M seed round. Our investors include Y Combinator, Next47, Bloomberg Beta, Octave Fund, and the founders of Dropbox, Airtable and Clari.
We're in-person in SF. We have an espresso machine, meals provided every day, a fully stocked fridge, and lots of natural light!
At Camfer, our research engineers are training models to intelligently interpret and edit parametric CAD designs in 3D space. This is a cutting-edge challenge that requires innovative problem-solving and creative approaches to tackle complex, highly-technical problems.
In the near term you may be building: custom models to generate parametric CAD models from text, efficient vector representations of 3D models, evals to measure performance of generations in 3D space, or RL frameworks to train agents.
We are looking for people who:
At Camfer, you will be given the autonomy to do some of the best work of your life.
If there appears to be a fit, we'll reach to schedule personal / technical interviews. Our final step is coming to our office for a work trial (paid), where you’ll work with us for a block of time and dive deep with the team.
fulltimeSan Francisco, CA, USResearch$100K - $150K0.50% - 1.00%Any (new grads ok)
fulltimeSan Francisco, CA, USFull stack$100K - $140K0.50% - 1.00%Any (new grads ok)
internSan Francisco, CA, USMachine learning$60K - $120KAny