AI Research and Development Engineer (Physical AI)

Job description

Job Details: Job Description: Scaling foundation models to the physical world is one of the hardest challenges in AI today. This role moves beyond simulation, which puts intelligence directly onto real hardware. You'll build the end-to-end stack for robotic intelligence as part of the Intel's Open Edge Platform and OpenVINO toolkit. The work is entirely open-source under the Apache 2.0 license to create the bridge between high-level reasoning and real-time physical action. About the Role: 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. It's a position for engineers who work at the intersection of high-level research and low-level performance optimization. You'll ensure that complex policies don't just work in a paper, but run reliably on edge hardware with minimal latency. Qualifications: What You Bring - 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 to...