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Senior Systems Engineer - Autonomous Drone Perception

Senior Systems Engineer - Autonomous Drone Perception

Amazon StoresSeattle, WA, United States
7 days ago
Job type
  • Full-time
Job description

Join the innovative Amazon Prime Air Team! We are seeking a talented Senior Systems Engineer with a strong software background who excels in technical, analytical, and operational abilities. This is your opportunity to contribute to the future of autonomous flight technology.

At Amazon Prime Air, we are pioneering advanced perception systems that allow drones to perceive, comprehend, and navigate their environment. Our perception team is leading the charge in creating the "eyes and brain" for autonomous drones, enabling them to safely detect and avoid obstacles, accurately locate themselves, and navigate intricate delivery environments.

Why you will thrive here :

  • Engage in challenging perception problems that integrate machine learning with real-world autonomous technology.
  • Be a part of groundbreaking innovations that will redefine last-mile delivery and revolutionize aviation.
  • Collaborate with a team that values thorough engineering and agile experimentation.
  • See your contributions take flight and make a mark on the history of autonomous aviation.

If you're driven by the challenge of building perception systems that enable machines to safely interact with the world, we eagerly want to talk to you.

Important Note : This role may require compliance with export control laws and obtaining a deemed export control license.

Key Responsibilities :

  • Translate complex operational needs into specific system and subsystem requirements for vision-based perception systems.
  • Facilitate the integration of perception algorithms (including computer vision, radar processing, and ML) with the overall flight control and autonomy framework.
  • Create extensive requirements documentation that adheres to aviation certification standards while promoting quick innovation.
  • Work alongside cross-functional teams (ML engineers, computer vision experts, hardware engineers) to design and validate perception system structures.
  • Lead technical reviews to ensure perception systems adhere to performance, safety, and reliability standards.
  • Promote continuous enhancements in the development and certification processes for perception systems in autonomous flight.
  • Basic Qualifications :

  • Experience in developing requirements and designing system architectures for perception systems in robotics, autonomous vehicles, or aerospace industries.
  • Solid background in computer vision, sensor fusion, or machine learning applications.
  • Ability to break down high-level requirements into detailed system specifications.
  • Familiarity with regulatory certification processes (e.g., FAA) is highly beneficial.
  • Outstanding analytical and technical documentation skills.
  • A collaborative approach to teamwork across varied disciplines.
  • Preferred Qualifications :

  • Over 6 years of experience in the design or architecture of both new and existing systems.
  • Proven experience leading the design, construction, and deployment of complex, high-performance software solutions in production.
  • More than 6 years of experience in systems design, software development, operations, automation, and process optimization.
  • Amazon is committed to diversity and is an equal opportunity employer. We do not discriminate based on veteran status, disability, or any other legally protected status. Our inclusive culture allows Amazonians to produce exceptional results for our customers. If you require workplace accommodations due to disability during the hiring process, please reach out to our Recruiting Partner.

    Our compensation reflects various factors across the US employment market. The salary for this position ranges from $136,100 in lower geographic areas to $235,200 in higher regions. Pay is determined based on several factors, including job-specific knowledge, skills, and experience.

    This position will remain open until filled. Candidates should apply via our career site.

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