VP of Robotic Foundation Model

Requirements

• Professional Experience
• Proven experience leading or managing high-performing ML, robotics AI, or multimodal foundation model teams.
• Strong track record of taking advanced AI or robotics systems from research or prototype stage into reliable real-world operation.
• Experience owning team execution, technical direction, prioritization, and stakeholder alignment for complex engineering programs.
• Demonstrated ability to lead in environments where both deep technical contribution and strong management are required.
• Technical Skills
• Multimodal / Foundation Model Expertise
• Deep expertise in designing, training, and evaluating large-scale multimodal models, such as vision-language, vision-language-action, or related transformer-based systems.
• Strong understanding of modern training paradigms, model scaling, fine-tuning, representation learning, and inference optimization.
• Robotics & Real-World Deployment
• Experience integrating AI/ML systems with physical robots under real-world operational constraints.
• Strong understanding of robotics software stacks, robot sensing, action representation, and the practical realities of deploying learned systems on hardware.
• Familiarity with robotics middleware such as ROS1/2 and with embedded or edge AI deployment platforms such as Jetson.
• Data & Infrastructure
• Strong experience building data pipelines and training systems for large, complex multimodal datasets including images, video, text, robot trajectories, and sensor logs.

Additional Information

As the VP of Robotic Foundation Model, you will lead the strategy, organization, and technical execution of our robotics foundation model team. This role is responsible for building and managing the team that turns that advancing the multimodal AI technology into robust, production-grade capability for real-world robots. You will define the roadmap for our robotic foundation model efforts, guide the end-to-end pipeline from teleoperation data to on-robot deployment, and ensure the team delivers models that are reliable, scalable, and useful in real operational environments, not just in research settings or proof-of-concept demos. You will work across AI, robotics, teleoperation, controls, hardware, and product teams to translate ambitious business and product goals into a practical technical strategy and high-performing engineering organization.

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Company Intel

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