Robotics Data Engineer, Santa Clara
About The Position
Design and implement state-of-the-art teleoperation systems (VR, hand tracking, etc.) for intuitive robot control and high-quality demonstration capture Build scalable data collection pipelines handling multi-modal sensor data (cameras, proprioception, etc.) with robust synchronization and storage Architect efficient data infrastructure connecting human demonstrations to ML training pipelines, enabling rapid iteration from data collection to deployed policies Develop novel algorithms and methods for collecting diverse, high-quality robot data more efficiently Write production-grade code to build robust systems that work reliably in real-world conditions Work closely with other engineers to optimize data formats, preprocessing pipelines, and training workflows
Requirements
- PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or related field; OR Master's degree with 1+ years industry experience; OR Bachelor's degree with 3+ years industry experience
- Strong programming skills in C++, Rust, or Python with demonstrated ability to build production systems
- Deep understanding of robot kinematics, control, and motion planning
- Experience with one or more: teleoperation systems, VR/AR development, human-robot interaction, data collection infrastructure
- Understanding of machine learning workflows, particularly for robotics (imitation learning, reinforcement learning, or foundation models, etc)
- Excellent problem-solving skills and ability to work across the full stack
- Genuine passion for robotics—you love working with robots and are excited to dedicate yourself to pushing the boundaries of what they can do
- Ability to thrive in a fast-paced startup environment where your work directly impacts our trajectory
Nice To Haves
- Experience developing VR/AR applications (Unity, Unreal Engine, etc.) for robotics or simulation
- Background in localization systems (SLAM, visual odometry, motion capture, etc.)
- Hands-on experience building large-scale data collection infrastructure or ML data pipelines
- Knowledge of state-of-the-art robot learning algorithms (behavior cloning, diffusion policies, LBMs/LBFs)
- Experience with distributed systems, workflow orchestration, and cloud infrastructure
- Familiarity with robot simulators (Isaac Sim, MuJoCo, Drake, etc.) and sim-to-real transfer
- Publications or open-source contributions in robotics, ML, or computer systems
- Experience with real-time systems, sensor fusion, or computer vision
- Background working with ROS/ROS2 or similar robotics middleware
- Track record of shipping production robotics or ML systems
Responsibilities
- Design and implement state-of-the-art teleoperation systems (VR, hand tracking, etc.) for intuitive robot control and high-quality demonstration capture
- Build scalable data collection pipelines handling multi-modal sensor data (cameras, proprioception, etc.) with robust synchronization and storage
- Architect efficient data infrastructure connecting human demonstrations to ML training pipelines, enabling rapid iteration from data collection to deployed policies
- Develop novel algorithms and methods for collecting diverse, high-quality robot data more efficiently
- Write production-grade code to build robust systems that work reliably in real-world conditions
- Work closely with other engineers to optimize data formats, preprocessing pipelines, and training workflows
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
Number of Employees
251-500 employees
