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Product Support Engineer - Perception, Prime Air

Amazon.com

$89,200 - $185,000
Aug 20, 2025
Seattle, WA, US
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Amazon Prime Air is seeking an experienced Engineer to drive deployment of hardware and software functionality within their perception system, investigate issues to drive delivery on a critical program across several different disciplines.

Requirements

  • Strong background in computer vision, sensor fusion, or machine learning applications
  • 2+ years of systems development experience
  • Experience in automating, deploying, and supporting infrastructure
  • Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C-Sharp, Rust
  • Experience developing system architecture for perception systems in robotics, autonomous vehicles, or aerospace applications
  • Knowledge of computer science fundamentals such as object-oriented design, operating systems, algorithms, data structures, and complexity analysis
  • Experience with design or redesign of integrated systems

Responsibilities

  • Drive the delivery of critical engineering feedback and design improvements for Prime Air drones and support systems across teams through requirement tracking, design, development and test.
  • Own and drive triage of issues that occur in the field
  • Partner with quality and design engineering teams to close feedback loops
  • Engage with customer teams to understand opportunities for process improvement, and drive changes
  • Work with other engineers to find innovative solutions within fixed design space

Other

  • Are enrolled in or have completed a Bachelor's degree or above in computer science, computer engineering, or related field
  • Excellent communication skills are a must to build trust and drive alignment across both design and operations spaces.
  • This position may require a deemed export control license for compliance with applicable laws and regulations.
  • Experience with customer facing roles
  • Experience leading continuous improvement efforts and driving operational efficiency