AI Research and Development Engineer (Physical AI)

Scaling foundation models to the physical world by building the end-to-end stack for robotic intelligence as part of Intel's Open Edge Platform and OpenVINO toolkit. This role spans the entire lifecycle of physical AI, from training large-scale Vision-Language-Action (VLA) models to building lightweight runtimes for real-time deployment.

What You'll Do:

• Implement and fine-tune state-of-the-art Vision-Language-Action policies for robotic manipulation and control
• Export and optimize VLA models for edge deployment without accuracy loss via export pipelines, graph optimization, and precision calibration
• Develop safety runtimes to manage action clamping, velocity limits, and workspace bounds for reliable real-world operation
• Build and maintain model-agnostic inference APIs that abstract across different robotic platforms and hardware backends
• Support deployment across a range of edge accelerators and inference runtimes for broad hardware compatibility
• Write and publish research papers at top-tier venues to contribute to novel findings in vision, physical AI, model optimization, and robotic learning