Sr. System Development Engineer, World Wide Design Engineering

Amazon Amazon · Big Tech · Nashville, TN · Systems, Quality, & Security Engineering

Senior Systems Development Engineer role focused on developing AI/ML systems, autonomous robotics, and agentic workflow automation for facility design and deployment within Amazon's global fulfillment network. The role involves identifying and implementing technical solutions, developing internal tooling, contributing to product roadmaps, and mentoring engineers, with a strong emphasis on AI and innovation.

What you'd actually do

  1. Identify and implement strategic technical solutions of AI/ML systems, autonomous robotics, and quality automation solutions.
  2. Identify and develop internal tooling to assist with departmental efficiencies. (AI tooling, Data analytics, agentic workflow assistants etc.)
  3. Contribute to product roadmaps and drive cross-functional execution priorities
  4. Identify and analyze tradeoffs between software design alternatives, including impact on performance, schedule, cost, risk, complexity, and scalability
  5. Write status and build reports for cross-functional leadership review

Skills

Required

  • Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
  • Experience writing technical documents, project plans and progress reports to leadership and to stakeholders
  • Knowledge of at least one modern programming language such as C, C++, Java, or Perl
  • 5+ years of development/programming/scripting language (Python/Java/Bash/Perl) experience
  • 2+ years of professional software development experience, or Bachelor's degree within last 12 months in computer science or equivalent
  • 5+ years of building complex software systems experience
  • Experience contributing to the definition and implementation of automation opportunities within an operations environment
  • SQL
  • Python
  • C/C++

Nice to have

  • 5+ years of systems design, software development, operations, automation, and process improvement experience
  • Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
  • Experience developing test strategies and plans for complex hardware/software systems or systems of systems
  • Experience in warehouse operations and logistics or equivalent
  • Master's degree in Computer Science
  • Experience developing and executing/delivering product and technical roadmaps
  • Experience working with and influencing senior level stakeholders
  • Experience identifying and reviewing test plans, test cases and testing results with a strong QA background

What the JD emphasized

  • AI/ML systems
  • autonomous robotics
  • agentic workflow automation
  • computer vision solutions
  • vision language models
  • AI tooling
  • agentic workflow assistants
  • AI coding agents

Other signals

  • AI/ML systems
  • autonomous robotics
  • agentic workflow automation
  • computer vision solutions
  • vision language models