Embodied AI Tooling Engineer

About the Company

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. Faraday Future operates across multiple technology-driven areas, including AI electric vehicles, robotics, and its crypto business (AIXC), all under its 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-class talent to realize new possibilities in AI mobility, luxury innovation, and performance.

About the 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.

Responsibilities

• Architecture & Strategy
  • System Design: Architect a modular and scalable robotics tooling portfolio that integrates simulation, hardware-in-the-loop, and cloud infrastructure.
  • Technical Roadmap: Define and execute a strategic roadmap, balancing rapid 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.
  • Data Acquisition: Build scalable tools for high-fidelity data collection from both physical robotic platforms and simulation environments.
  • Data Lifecycle Management: Develop advanced pipelines for data cleaning, timestamp synchronization, and multimodal data alignment.
• 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.
  • Teleoperation & Remote Orchestration: Engineer low-latency tools for remote robot control and real-time tele-monitoring.
• Collaboration
  • Cross-functional Synergy: Partner closely with AI Researchers, Hardware Engineers, and partners to identify and bridge tooling gaps.

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.

Preferred Qualifications

• 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.

Pay

$100,000 - $120,000 DOE

Benefits

• Healthcare, dental, and vision benefits (free for you, discounted for family).
• 401(k) options.
• Casual dress code and relaxed work environment.
• Incentive plans.