Software Development Engineer II - Amazon Robotics, Proteus Amr, Motion

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

Software Development Engineer II role focused on task planning, motion planning, control, and navigation for autonomous mobile robots. The role involves developing generalizations for new environments and use cases, and integrating ML/AI-based systems into production robotics. It emphasizes working with state-of-the-art technologies, including agentic AI, and deploying code on a massive production fleet.

What you'd actually do

  1. Design, develop, and deploy software for task planning, motion planning, and control systems for autonomous mobile robots
  2. Build scalable, generalizable, and highly reliable systems with comprehensive metrics monitoring and regression alarming
  3. Support production robotics systems deployed across Amazon's fulfillment network, troubleshooting issues and implementing improvements
  4. Develop generalizations that enable autonomous navigation capabilities to scale to new environments and use cases
  5. Collaborate with Applied Scientists to integrate machine learning models into production motion planning and control systems

Skills

Required

  • 3+ years of non-internship professional software development experience
  • 2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
  • C++ or TypeScript in production environments

Nice to have

  • Experience with robotics frameworks such as ROS or ROS2
  • Experience implementing autonomous navigation systems (motion planning, perception, SLAM), or task planning and action generation from machine learning models
  • Experience with machine learning frameworks (TensorFlow, TensorRT, PyTorch) and integrating ML models into production systems
  • Experience with embedded systems or real-time software development

What the JD emphasized

  • ML and AI-based motion planning and task planning systems
  • integrate machine learning models into production motion planning and control systems
  • Experience with machine learning frameworks (TensorFlow, TensorRT, PyTorch) and integrating ML models into production systems

Other signals

  • production robotics systems
  • ML and AI-based motion planning and task planning systems
  • fully autonomous robots operating safely alongside people
  • massive scale