Embodied AI Tooling Engineer

Your Role

• As the Embodied AI Tooling Engineer, you will spearhead the development and vision of our end-to-end AI tooling ecosystem.
• You will own the infrastructure that powers our Embodied AI architecture, ensuring a seamless flow from raw interaction to model training.
• Your focus areas include:

• Data Acquisition: Building scalable tools for high-fidelity data collection from both
• physical robotic platforms and simulation environments.
• Data Lifecycle Management: Developing advanced pipelines for data
• cleaning, timestamp synchronization, and multimodal data alignment.
• Teleoperation & Remote Orchestration: Engineering low-latency tools for remote robot
• control and real-time tele-monitoring.

Additional information

You are both a visionary architect and a hands-on technical engineer. You will guide a high[1]impact team to transform cutting-edge robotics research into robust, production-ready capabilities.

Key Responsibilities

• Architecture & Strategy
• System Design: Architect a modular and scalable robotics tooling portfolio that
• simulation, hardware-in-the-loop, and cloud infrastructure.
• Technical Roadmap: Define and execute a strategic roadmap, balancing rapidly.
• innovation with the delivery of stable, high-performance tools.
• Standardization: Establish industry-leading standards for data formats (e.g., MCAP,
• HDF5, LeRobot) and communication protocols across the AI lifecycle.
• Data Engineering & Pipeline Optimization
• Multimodal Alignment: Lead the development of automated tools for multi-sensor data
• fusion and precision timestamp alignment (LiDAR, Camera, IMU, etc.).
• Efficiency Tools: Design sophisticated data "scrubbing" and labeling interfaces to
• accelerate the creation of high-quality humanoid robot datasets.
• Teleoperation & Human-Robot Interaction (HRI)
• Real-time Control: Optimize teleoperation systems for ultra-low latency to improve the quality of human-demonstrated data.
• Visualization: Build intuitive dashboards for real-time monitoring of robot states, diagnostic telemetry, and environmental perception.
• Collaboration
• Cross-functional Synergy: Partner closely with AI Researchers, Hardware Engineers, and partners to identify and bridge tooling gaps.

Basic Qualifications

• Master's or PhD in Computer Science, Robotics, Electrical Engineering, or a related field
• Experience: 5+ years of experience in software engineering within Robotics, AI, or Autonomous Driving.
• Technical Mastery: Pro-level proficiency in Python and C++. Deep experience with ROS/ROS2 and modern ML frameworks (e.g., PyTorch, TensorFlow).
• Domain Knowledge: Solid understanding of data pipelines (ETL), sensor fusion, and
• distributed systems. Familiarity with simulation engines like NVIDIA Isaac Sim, Gazebo, or Mujoco.
• System Mindset: Proven track record of shipping complex software products from
• prototype to production.

Preferred Qualifications

• Experience with teleoperation hardware (HaptX, VR controllers) or human[1]demonstration data collection.
• Contributions to open-source robotics or AI projects (e.g., LeRobot, Hugging Face
• Robotics).
• Experience in Humanoid Robotics or complex multi-degree-of-freedom (DoF) systems.

Perks + Benefits

• Healthcare + dental + vision benefits (Free for you / discounted for family)
• 401(k) options
• Casual dress code + relaxed work environment