Role overview
We are seeking a Senior Deep Learning Researcher in Physical AI / Embodied AI to join our Amsterdam-based research team. 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 be joining a well-established and innovative Physical AI research team that brings together researchers with strong academic backgrounds and extensive experience in embodied AI and robotics. You will have access to a diverse fleet of real robotic platforms, including humanoid robots and high-degree-of-freedom robot arms, enabling rigorous experimental validation beyond simulation. The team regularly conducts hands-on research in dexterous manipulation, loco-manipulation, and multimodal sensing, including vision, tactile, and force feedback. In addition, the team collaborates closely with robot OEM partners around the world, providing opportunities to influence real robotic systems and align scientific research with practical deployment considerations.
This role is research-driven, with the objective to develop impactful breakthroughs in Physical AI. We offer opportunity to publish at top-tier venues, while maintaining a clear connection to real robotic systems—particularly humanoid robots and dexterous manipulation.
We are particularly interested in candidates with deep expertise in one or more of the following areas, applied to embodied agents and real robotic systems:
- Vision-Language-Action (VLA) models for embodied intelligence
- World models and latent dynamics for planning and control
- Video-based world models and predictive representations
- Dexterous manipulation, including tactile and force-based control
- Learning from multimodal sensory inputs (vision, proprioception, force, tactile sensing)
- Loco-manipulation for humanoid robotics
What you'll work on
- 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 that integrate perception, language, and action under real-world physical constraints.
- Publish research in top-tier conferences and journals (e.g., NeurIPS, ICML, ICLR, CoRL, RSS, ICRA).
- Collaborate with other researchers and engineers to ensure long-term impact and relevance.
- Contribute to Qualcomm AI Research’s research strategy and scientific visibility in Physical AI.
What we're looking for
- Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
- 6+ months of academic and/or work experience developing and/or optimizing machine learning models, systems, platforms, or methods.
References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
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