Applied Scientist, PRG (Personal Robotics Group)

Join the Personal Robotics Group at Amazon where youll help pioneer intelligent robotic products that deliver meaningful customer experiences. As an Applied Scientist focused on Robot Navigation youll research and develop advanced navigation systems that enable robots to move reliably and safely through complex dynamic environments. Youll work across a broad spectrum of navigation approachesfrom classical methods to learning-based techniques and foundation modelsto build robust solutions for autonomous robot navigation.
In this role youll evaluate adapt and develop navigation methods that bridge the gap between state-of-the-art research and real-world deployment. Youll work closely with cross-functional teams to deliver integrated navigation capabilities that enable meaningful robot autonomy.


Key job responsibilities
Develop and implement robust navigation systems that enable reliable autonomous operation in complex dynamic indoor environments with static and dynamic obstacles
Build simulation-based and on-device evaluation frameworks with comprehensive benchmarks and metrics for systematic comparison of navigation methods
Conduct sim-to-real transfer experiments analyzing performance gaps and developing techniques to ensure reliable real-world navigation performance
Collaborate with perception manipulation and other teams to ensure seamless integration of navigation capabilities into the full robot system
Stay current with the latest advances in robot navigation spatial reasoning and related fields and apply relevant findings to improve system performance

About the team
The Personal Robotics Group is pioneering intelligent robotic products that deliver meaningful customer experiences. Were building the next generation of robotic systems that will redefine how customers interact with technology. Our work spans the full spectrum from advanced hardware design to sophisticated software and control systems combining mechanical innovation software engineering dynamic systems modeling and intelligent algorithms to create robots that are not just functional but delightful. This is a unique opportunity to shape the future of personal robotics working with world-class teams pushing the boundaries of whats possible in robotic manipulation locomotion and human-robot interaction.

Join us if youre passionate about creating the future of personal robotics solving complex challenges at the intersection of hardware and software and seeing your innovations deliver transformative customer experiences.

- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience with programming languages such as Python Java C
- Experience building machine learning models or developing algorithms for business application
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience applying theoretical models in an applied environment
- Experience developing and implementing deep learning models
- Track record of solving complex technical problems

- Experience with sim-to-real transfer for navigation systems
- Familiarity with visual navigation semantic navigation or foundation models applied to robot navigation
- Experience evaluating and benchmarking multiple navigation approaches (classical learning-based foundation model-based)
- Publication record at Robotics/ML/AI conferences (e.g. RSS CoRL ICRA IROS NeurIPS ICML ICLR)
- 1 years of industry or academic research experience in robot navigation motion planning or autonomous systems
- Experience spanning classical robot navigation (e.g. global/local path planning MPC/trajectory optimization) and modern learning-based navigation techniques
- Experience with simulation environments for robotics (Isaac Sim Gazebo or similar)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at CA Sunnyvale - 171600.00 - 222200.00 USD annually