Personal Robotics Group - Applied Scientist II Intern / Co-op - 2026 (robotics, Manipulation, Locomotion, Controls, Reinforcement Learning, Perception, Manipulation, Planning, Hri and More)

Amazon Amazon · Big Tech · Sunnyvale, CA · Research Science

PhD intern/co-op role in Amazon's Personal Robotics Group focusing on research and development of intelligent robotic products, including Amazon Astro. The role involves working on the full spectrum of robotics, from hardware design to software and control systems, with a focus on manipulation, locomotion, and human-robot interaction. Requires a PhD in a relevant field and experience in programming languages like Python, C++, or Java.

What you'd actually do

  1. pioneering intelligent robotic products that deliver meaningful customer experiences
  2. building the next generation of robotic systems that will redefine how customers interact with technology
  3. combining mechanical innovation, software engineering, dynamic systems modeling, and intelligent algorithms to create robots that are not just functional, but delightful
  4. shape the future of personal robotics working with world-class teams pushing the boundaries of what's possible in robotic manipulation, locomotion, and human-robot interaction
  5. creating the future of personal robotics, solving complex challenges at the intersection of hardware and software, and seeing your innovations deliver transformative customer experiences

Skills

Required

  • PhD degree in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, Robotics, Mathematics, Quantum Computing, Automated Reasoning or related fields
  • Relevant academic or industry research experience with state-of-the-art scientific principles and techniques in one or more Applied Science Intern disciplines such as robotics, artificial intelligence, or related
  • Experience programming in Java, C++, Python or similar language

Nice to have

  • Publications at top-tier peer-reviewed conferences or journals
  • Experience with research design, development, execution while following best practices in scientific methodology
  • Experience inventing or adapting state-of-the art scientific approaches, models, or algorithms to solve business or customer problems
  • Experience with algorithm development, data structures implementation, and software development concepts and methodologies (e.g., tradeoffs)
  • 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

What the JD emphasized

  • PhD students
  • robotics research
  • robotics
  • robotics manipulation
  • autonomous mobile robots
  • mobile manipulation
  • movement
  • autonomous navigation
  • locomotion
  • motion/path planning
  • controls
  • perception
  • sensing
  • robot learning
  • artificial intelligence
  • machine learning
  • computer vision
  • large language models
  • human-robot interaction
  • robotics simulation
  • optimization
  • Publications at top-tier peer-reviewed conferences or journals

Other signals

  • robotics
  • reinforcement learning
  • perception
  • manipulation
  • planning
  • human-robot interaction
  • machine learning
  • computer vision
  • large language models