Software Development Engineer , Amazon Robotics (ar) Sortation Planning

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

Software Development Engineer role focused on designing, developing, and deploying full-stack robotic planning, tracking, and workcell solutions using AWS and AI-driven sortation optimization. The role involves building software for sortation at scale, improving safety, and optimizing package flow and fleet orchestration through ML-powered algorithms and intelligent systems.

What you'd actually do

  1. Build scalable, flexible, and maintainable software solutions to innovative robotics technology integration problems.
  2. Work with peers of diverse backgrounds and experiences to solve challenging problems in a multi-disciplinary environment.
  3. Take fast-paced, high-octane ownership of end-to-end solutions with a focus on working directly with stakeholders, customers, and teammates.
  4. Maintain, implement, and deploy existing software services in Production with established customer bases, requiring adoption of and adherence to metrics, alarms, and operational excellence standards.
  5. Contribute to team technical standards and best practices.

Skills

Required

  • 4+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • 2+ years of full stack development experience
  • Experience building complex software systems that have been successfully delivered to customers
  • Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

Nice to have

  • Master's degree in computer science or equivalent
  • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
  • Experience developing software code in one or more programming languages (java, python, etc.)

What the JD emphasized

  • AI-driven sortation optimization
  • ML-powered predictive routing algorithms
  • intelligent work planning systems
  • ML model solutions versus heuristic real-time approaches

Other signals

  • AI-driven sortation optimization
  • ML-powered predictive routing algorithms
  • intelligent work planning systems