Defining motion for autonomous systems. Backed by a16z.
About the role
Maintain and iterate on the embodied AI data collection system, covering multimodal sensor synchronization, data pipelines, storage, and downstream annotation toolchains. Own the integration, calibration, and routine maintenance of camera systems (ZED / RealSense / industrial cameras, etc.) and robotic arms, keeping equipment stable and operational. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelor's degree or above in Robotics, Automation, Computer Science, or a related field, with 3+ years of relevant experience
- Strong programming skills in Python / C++, familiar with system-level development and debugging in Linux environments
- Expert in ROS / ROS2, including node communication mechanisms (Topics, Services, Actions), parameter management, and the Launch system
- Familiar with camera system integration and calibration (intrinsics, extrinsics, multi-camera synchronization), hands-on experience with ZED / RealSense or similar RGB-D / stereo cameras
- Familiar with robotic arm control interfaces (e.g., UR / Franka / xArm or in-house arms), with an understanding of the driver layer, kinematics, and high-level API calls
- Familiar with common robot hardware interfaces (CAN, EtherCAT, RS485, USB) and sensor integration (IMU, depth cameras, force/torque sensors, etc.)
More about this role
At XDOF, we’re at an inflection point. Frontier labs are racing to build general-purpose robots, and high-quality training data is the bottleneck. We’re building the foundation behind the foundation models – the data collection systems, operational capability, exabyte-scale data warehouse, and software toolchain – to help our partners drive the field forward.
We're looking for a full-stack engineer who can work across the entire stack, from hardware, sensors, and data pipelines through to algorithm deployment, and who will independently own the end-to-end implementation of embodied AI capabilities on robots.
Maintain and iterate on the embodied AI data collection system, covering multimodal sensor synchronization, data pipelines, storage, and downstream annotation toolchains.
Own the integration, calibration, and routine maintenance of camera systems (ZED / RealSense / industrial cameras, etc.) and robotic arms, keeping equipment stable and operational.
Independently own end-to-end deployment of imitation learning / DAgger / teleoperation algorithms on robots, including data collection, model training, inference deployment, and on-site tuning.
Drive data quality assurance...
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