Software Development Engineer III - Amazon Robotics, Autonomous Mobility, Ams

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

Software Development Engineer III role focused on leading the technical direction for autonomous navigation stack components, including task planning, motion planning, and control for production robotics systems. The role involves architecting and implementing ML/AI-based systems, impacting thousands of robots, and working with state-of-the-art technologies in a scaling environment.

What you'd actually do

  1. Designing motion planning and task planning systems that generalize to new scenarios and environments
  2. Developing and improving motion planning algorithms
  3. Building and owning training pipelines for machine learning-based motion planning
  4. Leading development metrics and analysis frameworks and proactive alarming tools to diagnose motion planning and navigation issues
  5. Leading cross-functional alignment on software interfaces with Perception, SLAM, Infrastructure, and Fleet Management

Skills

Required

  • 5+ years of non-internship professional software development experience
  • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • 5+ years of programming with at least one software programming language experience
  • Experience as a mentor, tech lead or leading an engineering team

Nice to have

  • Bachelor's degree in computer science or equivalent
  • Expertise with C++ or TypeScript in production environments
  • 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

  • lead the technical direction
  • own team-level architecture decisions
  • architecting and implementing next-generation ML and AI-based motion planning and task planning systems
  • technical leader
  • architectural guidance
  • lead projects that require the work of multiple engineers
  • shaping the future of autonomous robotics at scale
  • agentic AI
  • leading design or architecture
  • leading an engineering team

Other signals

  • leading technical direction for critical components of our autonomous navigation stack
  • architecting and implementing next-generation ML and AI-based motion planning and task planning systems
  • work directly impacting thousands of fully autonomous robots operating alongside people in fulfillment centers worldwide
  • shaping the future of autonomous robotics at scale
  • working with state-of-the-art technologies including real-time robotics systems, machine learning, and agentic AI