1 month ago
San Mateo, CA, USAMid Level
H1B sponsor
Base Salary
$180k - $300k/yr
Responsibilities
- Maintain and iterate on embodied AI data-collection systems covering multimodal sensor synchronization, data pipelines, storage, and annotation toolchains.
- Integrate, calibrate, and maintain ZED, RealSense, industrial, RGB-D, and stereo camera systems and robotic arms.
- Own end-to-end deployment of imitation learning, DAgger, and teleoperation algorithms, including data collection, model training, inference deployment, and on-site tuning.
- Implement data-quality mechanisms for timestamp synchronization, coordinate-frame alignment, anomalous-data detection, and collection-failure diagnosis and repair.
- Define and maintain robot-side software interfaces and communication protocols using ROS2 and DDS to replicate collection and deployment stations.
- Support on-site data collection and algorithm deployment, create technical documentation, and improve collection efficiency and model performance.
Requirements
- Bachelor's degree or above in Robotics, Automation, Computer Science, or a related field, plus 3+ years of relevant experience.
- Strong Python and C++ programming skills and familiarity with system-level development and debugging in Linux environments.
- Expertise in ROS and ROS2, including Topics, Services, Actions, parameter management, and the Launch system.
- Experience integrating and calibrating camera systems, including intrinsics, extrinsics, multi-camera synchronization, and ZED, RealSense, or similar RGB-D or stereo cameras.
- Experience with robotic-arm control interfaces such as UR, Franka, xArm, or in-house arms, including driver layers, kinematics, and high-level API calls.
- Familiarity with CAN, EtherCAT, RS485, USB, IMU, depth cameras, and force/torque sensors.
- Experience training and deploying deep learning models, with proficiency in PyTorch and the full workflow from data preparation and training through inference and deployment.
- Proficiency using AI coding tools such as Claude Code and Cursor in daily development.
- Preferred experience includes embodied AI and imitation-learning data collection and deployment, Diffusion Policy, ACT, VLA, SVO2, ROS bag, HDF5, LeRobot datasets, camera hardware triggering, PTP, VIVE Trackers, OptiTrack, motion-capture gloves, H.264, H.265, and Jetson hardware codecs.
- Fluent written English and ability to read research papers and open-source project documentation.
Benefits
- Competitive compensation package.
- Flat, open engineering culture with involvement in technical decisions.
- Well-equipped hardware lab supporting rapid prototyping and iteration.
- Flexible work arrangements.
- Ongoing learning and internal tech-sharing programs.
- End-to-end ownership and autonomy across data, algorithms, and deployment.
About XDOF
XDOF builds data, software, and operational infrastructure for robotics companies and research labs developing general‑purpose robots and physical AI. It provides scalable data collection, tooling, hardware integration, and services that help teams train, deploy, and manage autonomy systems. The company is privately held and positions itself as an infrastructure partner to frontier labs and robotics builders, with a team drawing experience from Tesla, Google, Applied Intuition, BAIR, Covariant, and Gatik.