Ai Research And Development Engineer (physical Ai)
Intel
Netherlands
Fully remote
Pytorch and pytorch lightning experience
Vision-language-action model implementation
Edge deployment optimization skills
Intel is seeking an Ai Research and Development Engineer to work on scaling foundation models for physical AI, focusing on robotic intelligence integration with real hardware. The role involves end-to-end development of Vision-Language-Action models, ensuring performance optimization for edge hardware, and contributing to open-source projects
Job Summary
This role moves beyond simulation to put intelligence directly onto real hardware by building the end-to-end stack for robotic intelligence.
Engineers will ensure complex policies run reliably on edge hardware with minimal latency through graph optimization and precision calibration.
The position prioritizes performance and real-world utility over theoretical cloud metrics while contributing to a hardware-agnostic open-source stack.
Matching Summary
Match Score: 85
Intel is seeking an Ai Research and Development Engineer to work on scaling foundation models for physical AI, focusing on robotic intelligence integration with real hardware. The role involves end-to-end development of Vision-Language-Action models, ensuring performance optimization for edge hardware, and contributing to open-source projects.
Skills & Requirements
Must-have
PyTorch and PyTorch Lightning experience
Vision-Language-Action model implementation
Edge deployment optimization skills
Robotic systems hardware knowledge
OpenVINO or ONNX Runtime familiarity
Nice-to-have
PhD in robotics or machine learning
Open-source contributions to embodied AI
Low-level performance profiling expertise
Experience with humanoid robots
Publication record at top-tier venues
Key Requirements
Extensive experience with distributed training for large-scale models
Hands-on experience with industrial, EMR, and humanoid robots
Deep understanding of VLA architectures and imitation learning
Technical expertise in model export and graph compilation