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Key skills for this role
As a Robotics Software Engineer specializing in robot learning and manipulation, you will drive the design, training, validation, and deployment of contact-rich manipulation skills on real robots. Your focus will be on solving dexterous, contact-rich manipulation tasks. You will develop and integrate sensor-based control strategies and Vision-Language-Action (VLA) policies, managing the full model lifecycle, from architecture and large-scale data collection through training, validation, and reliable deployment on industrial and collaborative robots.
This is a hands-on engineering role. You will spend significant time in the lab, running trials on hardware, curating high-quality datasets, and getting models to work on real robotic systems.
How you'll move the mission forward
Develop, train, and deploy multimodal VLA and learned manipulation policies that solve contact-rich tasks, integrating sensor-based control strategies that combine vision, force-torque, and tactile feedback.
Run the manipulation model lifecycle, conducting regular trials on real hardware to evaluate algorithmic changes and curate high-quality training datasets.
Architect and build modular components for imitation and reinforcement learning, continuously improving the robustness of contact-rich tasks.
Build pipelines for continual learning, enabling policies to keep improving from new demonstrations and real-world deployment data over time.
Stress-test and optimize the real-time execution framework for learned policies running on the robot.
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Full-time
Senior
Onsite
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