Embodied AI Tooling Engineer

Faraday Future•El Segundo, CA

4h•$100,000 - $120,000

About The Position

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

Requirements

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

Nice To Haves

Experience with teleoperation hardware (HaptX, VR controllers) or human-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.

Responsibilities

Architect a modular and scalable robotics tooling portfolio that simulation, hardware-in-the-loop, and cloud infrastructure.
Define and execute a strategic roadmap, balancing rapidly innovation with the delivery of stable, high-performance tools.
Establish industry-leading standards for data formats (e.g., MCAP, HDF5, LeRobot) and communication protocols across the AI lifecycle.
Lead the development of automated tools for multi-sensor data fusion and precision timestamp alignment (LiDAR, Camera, IMU, etc.).
Design sophisticated data "scrubbing" and labeling interfaces to accelerate the creation of high-quality humanoid robot datasets.
Optimize teleoperation systems for ultra-low latency to improve the quality of human-demonstrated data.
Build intuitive dashboards for real-time monitoring of robot states, diagnostic telemetry, and environmental perception.
Partner closely with AI Researchers, Hardware Engineers, and partners to identify and bridge tooling gaps.