Manager Jobs

About The Position

Requirements

• PhD. degree in a technology or engineering discipline or equivalent combination of education, training
• 7+ years of work experience after PhD. in the robotics domain
• Deep knowledge and experience in ML training, including data and model management techniques, data augmentation approaches, multi-GPU training, model tuning, and model deployment
• Knowledge of production robot learning pipelines and options for data mixtures, including simulation, teleoperation, egocentric video, and third person video
• Strong understanding of robotics fundamentals, including locomotion, manipulation, sensor inputs, SLAM, ROS, simulation environments (e.g. Nvidia Isaac-SIM), and policy architectures
• Passion for leading teams and providing both formal and informal mentorship
• Strong communication and interpersonal skills, and the ability to engage customers at a business level in addition to a technical level
• Sound knowledge of early-stage technology research programs: understanding user needs, gathering requirements, defining project scope and deliverables, building schedules and executing programs from inception to prototyping
• Stay current with AI/ML and robot learning trends and research; be a thought leader in the Robot Learning area

Nice To Haves

• Thrive in a fast-paced, dynamic environment
• Contribute in a team-oriented environment, while driving your own agenda
• Prioritize multiple tasks in order to consistently meet deadlines
• Creatively solve problems in an analytical environment
• Resilience to overcome hurdles and address failures with alternative paths
• Adapt quickly to new environments, people, technologies and processes
• High caliber presentation skills with the ability to adapt message to the audience and situation
• Generate ideas while understanding and incorporating different points of view
• Must be willing to travel domestically and internationally (10%)

Responsibilities

• Direct and manage state-of-the-art R&D to push boundaries of data efficient learning methods for robotics, including simulation training and evaluation, learning from egocentric video, generative models for simulation testing, real2sim2real, and teleoperation data augmentation
• Lead a team to engineer efficient pipelines for data processing, learning, and model deployment, and support its use by groups within the Robot Intelligence Lab and affiliated Samsung Product and Advanced Research labs
• Lead a team to prepare proof-of-concepts, demo/prototypes, design, and execute pilot studies using available robot platforms
• Manage the operations of the team, such as recruiting, execution of technical milestones, patenting, contracting, purchasing, and facilities
• Generate patents and scientific research papers for top-tier publications

Benefits

• annual bonus eligibility
• generous benefits to help you live life well