Senior Robotics Research Engineer

16 hours ago

Cambridge, United States Toyota New Zeland Full time

The OpportunityWe’re looking for a motivated engineer with a “make it happen” mentality. The ideal candidate is able to work independently when needed, but also works well as part of a larger integrated group at the innovative of pioneering robotics and machine learning. If our mission of revolutionizing robotics through machine learning resonates with you, get in touch about how we can create the next generation of AI-powered capable robots togetherResponsibilities Research and contribute to the design of novel robotic systems through software development, encompassing control, perception, and planning, applying both classical and learned methods.Enable research into robot foundation models by working with mechanical/electrical engineers, technicians, and researchers to build and integrate new enabling robotics technologies.Work with robotics research scientists toward applying and integrating research toward more robust, perceptive, and scalable systems.Design and integrate creative system solutions; combining actuation, structure, and sensing, as well as new mechanisms and sensory for human-scale manipulation and dexterity. Qualifications or equivalent experience or higher in an engineering-related field and 6+ years of relevant industry experience.Strong software engineering skills; comfortable working in a mixed Python and C++ codebase.The ability to design and deploy integrated systems that complement and bring to bear advanced software and learning algorithms.Deep multi-functional understanding of all levels of a robotic system including both hardware and software, with experience operating robots.Experience with a full-stack approach to robotics, including familiarity with electromechanical systems and actuation, as well as practical software design.Familiarity with physical/embodied AI methods and training machine-learned policies.Experience with inter- and in-process communication, parallelism, logging, networking and data systems, and common methods.Familiarity with classical motion planning and robotic control.Bonus Qualifications A track record of relevant publications in top international conferences (RSS, NeuRIPS, ICML, ICLR, CoRL, ICRA, IROS, …)Background or familiarity with some of the following: motion control and actuation, whole-body control, robot teleoperation methods, common communication protocols, research robotic arms/systems, visual perception and depth sensors, machine learning, robotic simulation, force and tactile sensing systems, haptic interfaces.

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