About The Position

Amazon's Devices Advanced Manufacturing Engineering (AME) team is seeking a Senior Software Development Engineer who will lead Software & Agentic AI development to automate new product engineering workflows through the generation of baseline artifacts used in the line bring up of assembly and test automation. This role includes cloud based AI/ML/LLM/VLM/VLA development work for deployment in manufacturing utilizing robot systems.

Requirements

  • Bachelor's degree in computer science or equivalent
  • 10+ 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
  • Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
  • Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations, or experience in computer architecture
  • Experience building complex software systems that have been successfully delivered to customers
  • Experience scripting languages and coding skills for one (1) or more of the following: Ruby, C/C++/C#, Node.JS, Java, Python, and PHP
  • Experience in professional software engineering & best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
  • Experience with advanced automation controls systems
  • 7+ years of electrical theory, robotics, controls components, and automated equipment experience
  • Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and PyTorch

Nice To Haves

  • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

Responsibilities

  • Innovate, design, and develop AI/ML solutions that scale. This involves coding in one of the key programming languages (C#, C, C++, Python) and developing Agents and software solutions that transform business requirements into actionable automation sequences working with deployments leveraging robots with multiple degrees of freedom required to support fungible automation stations.
  • Design, develop, and deploy AI/ML models and agentic AI workflows to optimize manufacturing processes, including predictive maintenance, anomaly detection, and adaptive process control.
  • Develop and integrate computer vision and deep-learning algorithms for automated optical inspection (AOI), defect classification, and quality assurance on production lines.
  • Build and maintain agentic AI systems that autonomously plan, execute, and monitor manufacturing tasks, leveraging Vision Language Models (VLM) and Vision Language Automation models (VLA) and multi-agent frameworks.
  • Troubleshoot issues to optimize MFG performance and solve complex manufacturing line problems.
  • Scale automation solutions working closely with Contract Manufacturers (CMs).
  • Document software code, specifications for internal and external stakeholders.
  • Act as first point of contact for manufacturing software in US.
  • Perform root cause analysis.
  • Be willing to "roll up sleeves and do what needs to get done" in a small, specialized team environment.
  • Understand automation trends, including AI/ML advancements, and support defining the automation roadmap for the next 3 years.

Benefits

  • health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • paid time off
  • parental leave
  • sign-on payments
  • restricted stock units (RSUs)
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