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San Francisco, California, United States
Onsite
We're building a helpful robot for every home.
We're a small team of engineers, designers, and operators based in San Francisco. Our team comes from Tesla, Cruise, OpenAI, Google, Pixar, and many other great companies. In the past we've shipped to hundreds of millions of users and know what it takes to build amazing products and experiences.
Our team is deliberately lean to promote rapid decision making and do away with bureaucracy and hierarchy. Everyone is an IC and is empowered with massive scope, radical ownership, and direct responsibility. We work across the stack with a culture built for rapid iteration and fast execution.
All roles at The Bot Company demand extreme sharpness and the ability to move fast in high-intensity environments. Throughout the process, we expect candidates to demonstrate:
Exceptional mental acuity: you think quickly, learn instantly, and reason across unfamiliar domains.
Engineering curiosity: you naturally dig into how systems work, even outside your specialty.
High performance mindset: you move fast, handle ambiguity, and excel when the environment is demanding.
You’ll build the 3D perception systems that allow our robots to understand and navigate real-world environments. This role is for someone who can design state-of-the-art 3D vision pipelines from the ground up, combine classical geometry with modern deep learning, and turn research ideas into production-quality systems.
Very strong coding skills in Python and/or C++.
Experience with PyTorch and CUDA, including custom operators, optimized data pipelines, or model acceleration.
Experience building 3D vision systems from scratch — not just using off-the-shelf libraries.
Strong understanding of different sensor modalities (e.g., cameras, IMUs, wheel odometry, LiDAR, etc.), including their measurement models, calibration procedures, temporal synchronization, and noise characterization.
Deep domain expertise in at least two of the following areas:
Multi-view geometry, bundle adjustment, pose graph optimization, visual-inertial odometry.
Dense 3D reconstruction, novel-view synthesis (NeRF, Gaussian Splatting, etc.).
Training depth estimation, optical flow, or feature matching networks.
Design and build end-to-end 3D perception systems for real-world robotic environments.
Develop geometric vision pipelines—SLAM, reconstruction, tracking—and integrate them with learned models.
Implement and optimize deep learning models for depth, flow, correspondence, and 3D understanding.
Prototype rapidly, measure performance in realistic conditions, and iterate to production-quality solutions.
Collaborate closely with robotics, simulation, and platform teams to integrate 3D perception into the full stack.
Move quickly and independently to solve hard 3D vision and geometry problems.
You’ll work with a small, elite team on challenges that require speed, intelligence, and deep engineering instinct. If you enjoy understanding systems at all levels, move fast, and think even faster, you’ll thrive here.
