VLA Algorithm Engineer – Simulation Data Generation & World Models
Core
Build and optimize robotic simulation environments, develop large-scale synthetic training data pipelines, and improve simulation-to-real-world transfer for embodied AI foundation models.
Role type
VLA Algorithm Engineer (Simulation & World Models)
Builds
Robotic simulation environments, synthetic training datasets, and embodied AI foundation models
Domain
Robotics, Reinforcement Learning, Computer Vision
Deliverable
production ML models
Required skills
robotics simulation, reinforcement learning, imitation learning, world models, 3D computer vision
Preferred skills
simulation platform development (NVIDIA Isaac Sim, MuJoCo, PyBullet), large-scale synthetic data generation, sim-to-real transfer techniques
Technologies
NVIDIA Isaac Sim, Isaac Orbit, MuJoCo, PyBullet, Genesis
Responsibilities
Build and optimize simulation environments for manipulation, navigation, and humanoid robotics; Contribute to training and optimization of embodied AI foundation models; Design approaches for incorporating multimodal inputs including force and tactile sensing; Improve simulation and evaluation pipelines to reduce the sim-to-real gap
Seniority
Mid-level, hands-on IC
