Sr. Perception Systems Engineer, Prime Air

Description

• How do you get items to customers quickly, cost-effectively, and—most importantly—safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers,

Description

• How do you get items to customers quickly, cost-effectively, and—most importantly—safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We are delivering to customers and are excited for what's to come. If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you. Come work on the Amazon Prime Air Team! Check out more information about Prime Air on the About Amazon blog: https://www.aboutamazon.com/news/tag/drone Amazon Prime Air (PA) is seeking a Sr. Systems Development Engineer to oversee the development hardware and software integration within our revolutionary perception systems that enable drones to see, understand, and navigate the world around them This role will be responsible for ensuring high standards for certifying safety-critical software and hardware in airborne systems, working closely with design engineering staff powering a flywheel of continuous improvement in drone software design. Partnering with the drone system development and various engineering disciplines, you will oversee development, verification, configuration management, and quality assurance to ensure compliance to Design Assurance Levels and software development standards. Strong cross-functional engineering fundamentals skills are essential, as well as strong technical communication and documentation skills. Your ability to translate complex perception system functions into digestible insights and summarize effectively with stakeholders at all levels will be critical to success in this role. See your work literally take flight and make history in autonomous aviation If you're passionate about building perception systems that enable machines to understand and navigate the world safely, we want to talk to you. This position may require a deemed export control license for compliance with applicable laws and regulations. Placement is contingent on Amazon's ability to apply for and obtain an export control license on your behalf. Key job responsibilities What you'll do: Translate complex operational requirements into detailed system and subsystem specifications for our vision-based perception systems Bridge the gap between perception algorithms (computer vision, radar processing, ML) and their integration with the broader flight control and autonomy stack Develop comprehensive requirements documentation that meets aviation certification standards while enabling rapid innovation Collaborate with cross-functional teams (ML engineers, computer vision specialists, hardware engineers) to design and validate perception system architectures Lead technical reviews to ensure perception systems meet performance, safety, and reliability requirements Drive continuous improvement in how we develop and certify perception systems for autonomous flight Key job responsibilities - Oversee software development, verification, configuration management, and quality assurance to ensure compliance to Design Assurance Levels and software development standards - Communicate effectively across all organizational levels, presenting strategies and results to senior leadership and operational partners

Basic Qualifications

• - Experience in translating business needs into detailed feature requirements - Experience with concepts such as system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, and decision making - Experience planning, executing, and documenting verification activities that demonstrate correct and safe system behavior across nominal, off-nominal, and edge-case scenarios. - Experience evaluating machine-learning systems, particularly for computer vision systems or autonomy.

Preferred Qualifications