As a Software Development Engineer II on the AMS Motion team, you will own critical components of task planning, motion planning, control, and navigation software. You will work on supporting and evolving our production robotics systems, developing generalizations that enable our robots to operate in new environments and use cases. You will also have an opportunity to be involved in development of ML and AI-based motion planning and task planning systems. Your work will directly impact thousands of fully autonomous robots operating safely alongside people in fulfillment centers worldwide. You will be part of a collaborative team of Applied Scientists and Software Development Engineers. You'll work closely with teams across Perception, SLAM, Infrastructure, Fleet Management, and Coordination Services to deliver robust, scalable, and highly reliable autonomous navigation solutions. This role offers a unique opportunity to work with state-of-the-art technologies including real-time robotics systems, machine learning, and agentic AI while seeing your code deployed on a production fleet at massive scale. Key job responsibilities. Design, develop, and deploy software for task planning, motion planning, and control systems for autonomous mobile robots. Build scalable, generalizable, and highly reliable systems with comprehensive metrics monitoring and regression alarming. Support production robotics systems deployed across Amazon's fulfillment network, troubleshooting issues and implementing improvements. Develop generalizations that enable autonomous navigation capabilities to scale to new environments and use cases. Collaborate with Applied Scientists to integrate machine learning models into production motion planning and control systems. Work with cross-functional teams (Perception, SLAM, Infrastructure, Fleet Management) to deliver end-to-end autonomous navigation solutions. Contribute to the full software development lifecycle including design, implementation, testing, deployment, and operational support. Write high-quality, maintainable code primarily in C and Type. Script, with exposure to Python, Java, ROS/ ROS 2, Tensor. Flow, Tensor. RT, and Py. Torch. A day in the life. Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO)4. 401(k) Plan. If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If youre passionate about this role and want to make an impact on a global scale, please apply! About the team. The Proteus Gluon Motion team is at the forefront of autonomous mobile robotics at Amazon. Proteus is Amazon's first fully autonomous warehouse robot, currently deployed in 22 fulfillment sites across the Amazon network and expanding rapidly. Our mission is to improve operational efficiency while making the warehouse floor safer for people through state-of-the art autonomous navigation technology. Basic Qualifications- 3 years of non-internship professional software development experience- 2 years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- 2 years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field. Preferred Qualifications- Experience with C or Type. Script in production environments- Experience with robotics frameworks such as ROS or ROS 2- Experience implementing autonomous navigation systems (motion planning, perception, SLAM), or task planning and action generation from machine learning models- Experience with machine learning frameworks (Tensor. Flow, Tensor. RT, Py. Torch) and integrating ML models into production systems- Experience with embedded systems or real-time software development.