Job Description:

About the Role

We're looking for a VLA Algorithm Engineer working at the intersection of robotics, simulation, and world models to help advance our embodied AI foundation models. You'll build and optimize robotic simulation environments, develop large-scale synthetic training data pipelines, and improve how models trained in simulation transfer to real-world robots.

This role is ideal for someone who enjoys tackling challenging problems in robotics, reinforcement learning, imitation learning, and 3D vision, and wants to help build more capable, robust, and generalizable robotic systems.

Key Responsibilities

• Robotics Simulation: Build and optimize simulation environments for robotic tasks, including manipulation, navigation, mobile manipulation, and humanoid robotics.

• Embodied AI Foundation Models: Contribute to the training and optimization of embodied AI foundation models, including pretraining on large-scale egocentric human video and real-world robot data.

• Multimodal Learning: Design approaches for incorporating multimodal inputs, including force and tactile sensing, and develop, train, evaluate, and optimize models th