Applied Scientist II, Sensing

Amazon Industrial Robotics is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that combine cutting-edge AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at an unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic manipulation, locomotion, and human-robot interaction.

As an Applied Scientist in Sensing, you will develop innovative and complex sensing systems for our emerging robotic solutions and improve existing on-robot sensing to optimize performance and enhance customer experience. The ideal candidate has demonstrated experience designing and troubleshooting custom sensor systems from the ground up. They enjoy analytical problem solving and possess practical knowledge of robotic design, fabrication, assembly, and rapid prototyping. They thrive in an interdisciplinary environment and have led the development of complex sensing systems.

Key job responsibilities - Design and adapt holistic on-robot sensing solutions for ambiguous problems with fluid requirements - Mentor and develop junior scientists and engineers - Work with an interdisciplinary team to execute product designs from concept to production including specification, design, prototyping, validation and testing - Have responsibility for the designs and performance of a sensing system design - Work with the Operations, Manufacturing, Supply Chain and Quality organizations as well as vendors to ensure a fast development and delivery of the sensing concepts to the team - Develop overall safety concept of the sensing platform - Exhibit role model behaviors of applied science best practices, thorough and predictive analysis and cradle to grave ownership Basic Qualifications: - Experience working in a fast-paced, rapidly changing operations environment - PhD degree in Computer Vision, Machine Learning, AI, or Electrical engineering - Technical leadership in conceptualization, design and development of sensing systems - Strong Interest in sensing systems to support safe robot operation - Deep knowledge of sensing and signal processing, estimation, computer vision, or machine learning - Hands-on experience crafting proof-of-concept models and prototypes - Thorough understanding and use of principles, theories and concepts of perceptual analysis, as well as ability to apply them to system design - Experience communicating concepts to leadership and writing technical documents - Experience evaluating design, performance and tradeoffs of perceptual computing systems Preferred Qualifications: - Experience working with interdisciplinary teams to execute product concept with an eye for production - Demonstrated experience collaborating with Mechanical, Electrical and Controls engineers - Experience with safety certification of sensing systems - Experience with using sensing modalities in robot control

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

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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 https://amazon.jobs/en/benefits.

USA, MA, N.Reading - 142,800.00 - 193,200.00 USD annually