Staff Applied Scientist - AI & Robotics Mountain View - CA - California

Mountain View CA

Job Description:

>> Design and implement advanced robot learning architectures to support dexterous manipulation, path planning, and autonomous task sequencing

>> Develop end-to-end policy training pipelines, integrating multi-modal sensory data with control outputs

>> Build policy inference and closed-loop control that connect perception, planning, and execution on physical robotic platforms

>> Apply and extend large-scale architectures to embodied tasks, grounding, and sim-to-real adaptation

>> Collaborate with cross-functional teams to deploy robot policies on hardware, ensuring robustness, repeatability, and safety

>> Lead data strategy for demonstrations, teleoperation, simulation pipelines, and evaluation frameworks for manipulation policies

>> Stay current with embodied AI research and share insights internally through discussion, mentorship, and technical presentations

Requirements:

>> - Have you worked in robotics, robot learning, or embodied AI domain?

>> PhD in a relevant STEM field, or Masters 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 with strong experience training models at scale

>> Strong PyTorch implementation skills, including authoring custom modules, batching, debugging, and performance optimization

>> Practical experience with ROSROS2 and integrating learned policies into manipulation or motion control workflows