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Founding Research Engineer at camfer

camfer
San Francisco, California
Full-time
$102K–$118K
Estimated
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Required Skills

parametric CAD modeling
deep learning
3D model vector representations
reinforcement learning frameworks
algorithm design

Job Description

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:

  • Have a strong fundamental background in algorithms and deep learning
  • Can do true innovation, working on novel approaches and synthesizing improvements from a broad range of sources
  • Are high agency and capable of solving problems end-to-end 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.

Job Details

Employment Type

Full-time

Salary Range

$102K–$118K

Estimated

Location

San Francisco, California