Lead Embodied AI Tooling for Robotics & Teleoperation

faradayfuture; El Segundo (CA); On-site; USD 100,000 - 120,000; Full time

Benefits offered by this job

Healthcare + dental + vision benefits

401(k) options

Casual dress code + relaxed work env

Job summary

Faraday Future in California seeks an Embodied AI Tooling Engineer to spearhead the end-to-end AI tooling ecosystem. You will own the infrastructure powering data collection, model training, and deployment for advanced robotics architectures.

You will build scalable data tools, pursue multimodal data alignment, and enable ultra-low-latency teleoperation. A strong robotics and AI background with ROS/ROS2 and ML frameworks is essential.

Qualifications

• Master's or PhD in Computer Science, Robotics, Electrical Engineering, or a related field.
• 5+ years of software engineering in Robotics, AI, or Autonomous Driving.
• Pro-level proficiency in Python and C++.
• Deep experience with ROS/ROS2 and ML frameworks (PyTorch, TensorFlow).
• Knowledge of data pipelines (ETL), sensor fusion, and distributed systems.

Responsibilities

• Own the infrastructure that powers the Embodied AI tooling ecosystem from data collection to model training.
• Build scalable data acquisition tools for high-fidelity data from physical robots and simulations.
• Develop data lifecycle pipelines, including cleaning, synchronization, and multimodal alignment.
• Create low-latency teleoperation and remote orchestration tools for robot control.
• Lead a high-impact team to deliver production-ready tooling for AI robot systems.

Skills

Python

C++

ROS/ROS2

PyTorch/TensorFlow

Education

Master's or PhD in Computer Science, Robotics, Electrical Engineering, or related field

Advanced robotics or AI specialization

Tools

NVIDIA Isaac Sim

Gazebo

Mujoco

Job description

Faraday Future in California seeks an Embodied AI Tooling Engineer to spearhead the end-to-end AI tooling ecosystem. You will own the infrastructure powering data collection, model training, and deployment for advanced robotics architectures.

You will build scalable data tools, pursue multimodal data alignment, and enable ultra-low-latency teleoperation. A strong robotics and AI background with ROS/ROS2 and ML frameworks is essential.