About The Position

The Last Mile is where Amazon’s global fulfillment network meets the customer’s doorstep. As part of this mission-critical team, you will help redefine the speed and precision of our delivery operations, building the technologies that move millions of packages daily. We are looking for creative software engineers who thrive on complex, high-stakes challenges and are ready to innovate within our Last Mile Technology (LMT) and Station Tech organizations. In this role, you won’t just write code; you will be the architect of solutions that empower our "on-ground rockstars"—the associates, managers, and drivers who navigate the final stretch of the delivery journey. Your work will scale across Amazon Logistics (AMZL) and Global Specialty Fulfillment (GSF), focusing on reducing cognitive load and eliminating decision points through automation. By building tools that prioritize high-impact tasks and correct operational defects in real-time, you ensure we consistently meet our customer SLAs despite the growing complexity of our network. As a successful candidate, you will own the entire software development lifecycle—from design and documentation to deployment and operations. You will have the autonomy to build optimized systems that drive site throughput and operational quality on a global scale. If you are a self-driven engineer who relishes the challenge of operating mission-critical systems in a fast-paced, collaborative environment, come join us. It is still Day 1 in Last Mile, and we are ready to work hard, have fun, and make history. Key job responsibilities As a lead engineer, you will drive product strategy and define features that empower frontline teams while simplifying global operations. You'll architect reliable, high-performance robotics and automation solutions capable of sorting millions of packages with precision across our expanding logistics network, establishing the foundational "Day 1" standards for next-generation Last Mile technology. Your role combines deep Industrial Automation and Embedded/Controls Systems expertise with a customer-centric, results-driven approach to deliver mission-critical solutions that eliminate human error and ensure flawless execution at global scale.

Requirements

  • 3+ 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 software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
  • Experience in embedded development in C/C++, or experience writing low level drivers
  • Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C#, Rust

Nice To Haves

  • Master's degree in Computer Science, Engineering, Mathematics, or a related field
  • Experience with Linux/Unix operating systems
  • 4+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • 2+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
  • Experience with version control systems and CI/CD pipeline implementation
  • Experience with HW/SW interfaces on the board and chip level (e.g. I2C, SPI, DRAM, PCIe)
  • Experience with embedded systems and firmware development
  • Experience with TwinCAT or CODESYS, SoftPLCs, industrial fieldbus protocols such as Profinet, EtherNet/IP, EtherCAT
  • Experience programming industrial control systems using IEC 61131-3 languages (Structured Text or Ladder Logic)
  • Experience with machine vision and computer vision systems

Responsibilities

  • Design, develop, and maintain control software for mechatronic systems using modern practices including CI/CD pipelines and DevOps methodologies
  • Architect Industry 4.0 solutions integrating edge computing, cloud platforms, and advanced analytics for predictive maintenance, real-time monitoring, and data-driven decision-making across connected manufacturing systems
  • Develop hardware/firmware interfaces and contribute to IIoT solutions, including edge-to-cloud architectures, industrial communication protocols (OPC UA, MQTT), and data analytics pipelines
  • Implement automated testing frameworks and deployment strategies ensuring code quality, reliability, and seamless integration
  • Develop and optimize motion control algorithms, embedded software, and real-time control systems for industrial automation and IIoT
  • Develop embedded software in C/C++ in Embedded Linux and Real-time operating system environments
  • Explore and implement new possibilities for EdgeAI on resource-constrained embedded systems while maintaining deterministic behavior and reliable performance
  • Drive operational excellence through monitoring, analysis, and continuous improvement of software performance metrics and system reliability
  • Travel 20% to support onsite system testing and deployment

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
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