Embodied AI Tooling Engineer
Core
Architect and build the end-to-end AI tooling ecosystem for embodied AI, enabling data flow from physical robotic platforms and simulations to model training.
Role type
Senior IC embodied AI tooling engineer (robotics infrastructure)
Builds
Scalable robotics tooling portfolio, data pipelines, teleoperation systems, and simulation environments
Domain
Robotics, Embodied AI, Autonomous Systems
Deliverable
production ML models | infrastructure
Required skills
Python, C++, ROS/ROS2, PyTorch, TensorFlow, data pipeline design, sensor fusion, distributed systems, simulation engines (NVIDIA Isaac Sim, Gazebo, Mujoco)
Preferred skills
teleoperation hardware integration, open-source robotics contributions, humanoid robotics expertise
Technologies
MCAP, HDF5, LeRobot, NVIDIA Isaac Sim, Gazebo, Mujoco, ROS/ROS2, PyTorch, TensorFlow
Responsibilities
Architect modular robotics tooling portfolios; define technical roadmaps for tool delivery; develop automated tools for multi-sensor data fusion and timestamp alignment; optimize teleoperation systems for low latency; build dashboards for real-time robot monitoring; establish industry standards for data formats and communication protocols
Seniority
Senior, hands-on IC
