Sr. Systems Engineer, Prime Air

Amazon Amazon · Big Tech · Seattle, WA · Systems, Quality, & Security Engineering

Senior Systems Engineer for Amazon Prime Air, focusing on the integration and certification of hardware and software for drone perception systems. This role bridges the gap between perception algorithms (CV, radar, ML) and the flight control stack, ensuring safety-critical systems meet aviation standards and enable autonomous flight.

What you'd actually do

  1. Translate complex operational requirements into detailed system and subsystem specifications for our vision-based perception systems
  2. Bridge the gap between perception algorithms (computer vision, radar processing, ML) and their integration with the broader flight control and autonomy stack
  3. Develop comprehensive requirements documentation that meets aviation certification standards while enabling rapid innovation
  4. Collaborate with cross-functional teams (ML engineers, computer vision specialists, hardware engineers) to design and validate perception system architectures
  5. Lead technical reviews to ensure perception systems meet performance, safety, and reliability requirements

Skills

Required

  • complex systems experience
  • translating business needs into detailed feature requirements
  • process improvements with automation and analysis
  • security or compliance consulting
  • system architecture
  • optimization
  • system dynamics
  • system analysis
  • statistical analysis
  • reliability analysis
  • decision making
  • planning, executing, and documenting verification activities

Nice to have

  • software test techniques and strategy
  • Systems engineering
  • site reliability engineering
  • building and operating systems at scale
  • evaluating machine-learning systems
  • computer vision systems
  • autonomy

What the JD emphasized

  • safety-critical software
  • aviation certification standards
  • Design Assurance Levels
  • software development standards
  • technical communication
  • documentation skills
  • critical to success

Other signals

  • autonomous aviation
  • perception systems
  • ML engineers
  • computer vision
  • radar processing
  • flight control
  • autonomy stack
  • aviation certification standards
  • machine-learning systems