Senior Deep Learning Researcher - Physical AI

# Senior Deep Learning Researcher – Physical AI

## About the company
Qualcomm AI Research advances AI to make perception, reasoning, and action ubiquitous on devices. The research team focuses on Physical AI: intelligent systems that learn to perceive, reason, and act through embodied interaction with the physical world.

## Job description
We are seeking a Senior Deep Learning Researcher in Physical AI / Embodied AI for our research team in Amsterdam. The ideal candidate is a scientifically strong deep learning researcher with extensive experience in embodied AI and real robot experiments, and deep expertise in at least one core area relevant to Physical AI.

You will join an established and innovative Physical AI research team with strong academic backgrounds and extensive experience in embodied AI and robotics. You will have access to a diverse fleet of robotic platforms, including humanoid robots and robot arms with high degrees of freedom, enabling rigorous experimental validation beyond simulation. The team conducts hands-on research in dexterous manipulation, loco-manipulation, and multimodal sensors, including vision, tactile, and force-torque feedback.

## Responsibilities

• Conduct original research in Physical AI and Embodied Intelligence that creates business and scientific impact
• Design and evaluate learning-based methods in simulation and on real robots, with emphasis on humanoid platforms and manipulation
• Develop models integrating perception, language, and action under real physical constraints
• Publish research in top-tier journals and conferences (e.g., NeurIPS, ICML, ICLR, CoRL, RSS, ICRA)
• Collaborate with other researchers and engineers for sustained impact and relevance
• Contribute to Qualcomm AI Research's research strategy and scientific visibility in Physical AI

## Required qualifications

• PhD in Machine Learning, Deep Learning, Robotics, Computer Vision, or related field, or equivalent practical experience
• Deep expertise in at least one of the mentioned areas (Vision-Language-Action models, World models, Video-based world models, Dexterous manipulation, Multimodal sensory inputs, Loco-manipulation)
• Excellent programming skills in Python and experience with modern deep learning frameworks
• Ability to design clean experimental pipelines and maintainable research code
• Strong publication record in top-tier machine learning and/or robotics venues

## Desirable qualifications

• Demonstrated experience with embodied AI and real robot experiments, not only simulated work
• Experience bridging simulation and real robotics (sim-to-real, system identification, data collection)
• Hands-on experience with humanoid or high-DoF manipulation platforms
• Prior experience in industrial research environments with strong scientific output