Embodied AI Tooling Engineer

Faraday Future is a California-based technology company focused on the design, engineering, and development of intelligent, connected electric vehicles and related artificial intelligence enabled technologies.

Founded in 2014, the Company’s mission is to disrupt the automotive and technology industries by creating user-centric, technology-first experiences. The Company, together with its control subsidiaries, operates across multiple technology-driven areas, including AI electric vehicles, robotics, and its crypto business (AIXC), all under its upgraded Global EAI Industry Bridge Strategy, marking the beginning of a new chapter in AI mobility and Web3 integration. The Company aims to leverage the latest technologies and world’s best talent to realize exciting new possibilities across all of these lines. Faraday Future’s automotive business exemplifies its vision for luxury, innovation, and performance, while its FX strategy aims to introduce mass production models equipped with state-of-the-art luxury technology derived from the FF brand, targeted towards a broader market with middle-to-low price range offerings. FF is committed to redefining mobility through AI innovation. Join us in shaping the future of intelligent transportation and technology by creating something new, something connected, and something with a true global impact.

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[1]impact team to transform cutting-edge robotics research into robust, production-ready capabilities.

1. →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.

1. →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.

1. →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.

1. →Collaboration

• →Cross-functional Synergy: Partner closely with AI Researchers, Hardware Engineers, and partners to identify and bridge tooling gaps.

• 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.

• 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.

($100,000-$120,000 DOE), plus benefits and incentive plans