Robotics data engineer

Robotics Data Engineer

We are an early-stage robotics startup working on building multi-purpose mobile robots that can do complex manipulation tasks. We're seeking a creative and technically exceptional Robotics Data Engineer to join our founding team in Santa Clara, CA (on-site). You'll architect and build the data infrastructure that enables our robots to learn from experiencefrom teleoperation systems that capture human expertise to large-scale pipelines that transform raw robot data into training datasets for foundation models. Your work will directly accelerate our path from research to deployed systems performing real manipulation tasks.

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

Required Qualifications

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 roboticsyou 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

Preferred Qualifications

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