Embodied AI R&D Engineer

About this path

Learning-based control for robots that act in the physical world. You'll ground yourself in sensor fusion and distributed robotics, then move into Physical AI with Isaac Sim — training vision-language-action policies and reinforcement-learning controllers — and build robot simulation environments in Unity3D before bringing them to real hardware. The sim-to-real track for embodied intelligence.

What you'll be able to do

• Fuse sensor data into reliable state estimates for a moving robot
• Train reinforcement-learning and vision-language-action policies in Isaac Sim
• Build robot simulation environments in Unity3D
• Bridge the sim-to-real gap and deploy learned control on physical hardware