AI Engineer-Robotics

Must have skills:

Our AI Research team is building end-to-end robot policies that enable dexterous manipulation in real-world environments. We are advancing embodied AI by integrating multimodal perception, robot learning architectures, and physical execution systems (Staff Applied Scientist - AI & Robotics). We aim to solve manipulation, autonomy, and simulation challenges at industrial scale. As a Staff Applied Scientist, you will lead the development of core components of these embodied systems-from model design and training pipelines to integration with perception, motion control, and hardware.

You will design, prototype, and deploy robot learning models that span perception, policy learning, simulation, and real-world execution, collaborating closely with robotics engineers, AI infrastructure teams, and production experts.

Required Qualifications

• PhD in a relevant STEM field, or Master's with equivalent industry experience in robotics, robot learning, or embodied AI.
• Proven experience building and deploying machine learning models on robotic systems-including training, evaluation, and real-world execution or simulation.
• Deep understanding of modern AI architectures (e.g., Transformers, diffusion models, VLM/VLAs, CNNs) with strong experience training models at scale.
• Strong PyTorch implementation skills, including authoring custom modules, batching, debugging, and performance optimization.
• Practical experience with ROS/ROS2 and integrating learned policies into manipulation or motion control workflows.
• Demonstrated impact via robot learning publications, open-source contributions, or production robotics deployments.