Embodied AI Engineer — Robotics
Core
Building intelligent systems that perceive, reason, learn, and act in the physical world through Embodied AI and robotics.
Role type
Senior IC embodied AI engineer (robotics)
Builds
Embodied AI agents, VLA models, robot learning systems, simulation environments, and evaluation frameworks.
Domain
Robotics, Embodied AI, Multimodal Intelligence, Reinforcement Learning
Deliverable
production ML models
Required skills
Embodied AI, Vision-Language-Action (VLA) models, Reinforcement learning, Imitation learning, Computer vision, Transformer architectures, PyTorch, ROS/ROS2, Robot simulation (Isaac Sim, MuJoCo, Gazebo), Sim-to-real transfer, Synthetic data generation, Robot deployment
Preferred skills
Robot foundation models, Navigation and planning, World models, Domain randomization, Automated evaluation pipelines
Technologies
PyTorch, ROS, ROS2, Isaac Sim, MuJoCo, Gazebo, Habitat
Responsibilities
Develop VLA models and robot learning algorithms; Create and manage simulation environments for training; Generate synthetic and real-world training data; Deploy learned policies on physical robots; Design benchmarks and evaluation frameworks; Integrate AI models with robotic hardware and sensors.
Seniority
Senior, hands-on IC
