Senior Software Developer - Amazon Robotics , Autonomous Mobility

Amazon Amazon · Big Tech · North Reading, MA · Software Development

Senior Software Engineer for Amazon Robotics Autonomous Mobility team, focusing on perception and localization software for warehouse robots. Responsibilities include developing ML capabilities, sensor fusion, SLAM, and optimizing performance. Requires strong software development and leadership experience, with preferred experience in robotics ML, C++, Python, ROS, and CUDA.

What you'd actually do

  1. Developing machine-learning capabilities and infrastructure for robotic perception and localization.
  2. Developing sensor fusion techniques for obstacle detection and localization.
  3. Developing software for simultaneous localization and mapping (SLAM) shared across a robot fleet.
  4. Optimizing runtime performance of autonomy algorithms by exploiting underlying hardware acceleration capabilities.
  5. Building frameworks for large-scale replay and analysis of events in pre-recorded sensor data.

Skills

Required

  • 5+ years of non-internship professional software development experience
  • 5+ years of programming with at least one software programming language experience
  • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience as a mentor, tech lead or leading an engineering team

Nice to have

  • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelor's degree in computer science or equivalent
  • Experience with perception, localization, sensor-fusion, computer-vision, or machine-learning for robotics.
  • Expertise in modern C++ and experience with python.
  • Experience with Robot Operating System (ROS) or similar robotic frameworks.
  • Experience with CUDA or GPU programming.
  • Experience with AWS services and technologies

What the JD emphasized

  • robotic AI capabilities
  • machine-learning capabilities and infrastructure
  • perception and localization

Other signals

  • developing machine-learning capabilities and infrastructure for robotic perception and localization
  • developing software for simultaneous localization and mapping (SLAM) shared across a robot fleet
  • developing sensor fusion techniques for obstacle detection and localization