Robotics - Applied Scientist II Intern / Co-op - 2026 (Robotics, Manipulation, Perception, Motion Planning, Autonomous Mobile Robots, Computer Vision, Machine Learning, Controls, and more)

About the role

Are you passionate about robotics and research? Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable research and projects in a collaborative team environment? Do you want to see your science solutions directly impact millions of customers worldwide?

Description

We’re looking for current PhD students with a passion for robotic research and applications to join us as Robotics Applied Scientist II Intern/Co-ops in 2026 to shape the future of robotics and automation at an unprecedented scale across.

Basic Qualifications

• Are 18 years of age or older
• Currently enrolled in a PhD program in Computer Science, Robotics, Engineering, Machine Learning, Operations Research, Mathematics, or a related quantitative field
• Must be eligible for and available for full-time (40 hours per week) internship in person based out of the assigned office location for the whole duration of the internship/co-op
• At least 1 year of relevant academic research or industry experience within Robotics, Computer Vision, Machine Learning, Optimization, Manipulation, Perception, Motion Planning and Controls, Movement, Autonomous Navigation, Path Planning, or related
• Experience programming in Java, C++, Python, or related

Preferred Qualifications

• Publishation(s) at top-tier peer-reviewed conferences or journals
• Ability to develop system prototypes
• Demonstrated ability to work on collaborative and cross-functional teams
• Drive to see a project through from research concept to working prototype
• Strong algorithm development experience
• A working knowledge of analysis of algorithms and computational complexity
• Familiarity with state-of-the-art algorithms in field of expertise
• Excellent creative problem-solving skills
• Strong written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences