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DESCRIPTION

The Senior Software Development Manager will lead the end-to-end software organization for Amazon’s Autonomous Vehicle (AV) charter, driving the design, development, and deployment of scalable systems across autonomy, perception, planning, teleoperations, and cloud infrastructure. This role is responsible for building and managing high-performing teams across embedded and cloud software, collaborating with hardware, product, and operations to deliver mission-critical AV capabilities. The ideal candidate combines deep technical expertise with strong execution and organizational leadership to bring autonomous delivery vehicles to scale in the real world.

Key job responsibilities
The Senior Software Development Manager will be responsible for defining and executing the software roadmap across all components of the autonomous delivery stack—including perception, navigation, planning, safety systems, edge compute, remote operations, simulation, and cloud services. They will lead multiple engineering teams to architect scalable, modular, and safety-critical systems that power driverless delivery vehicles. This role includes setting technical direction, ensuring rigorous software development practices, managing cross-functional program dependencies, and delivering production-ready solutions in collaboration with hardware, product, operations, and policy teams. The manager will also own hiring, mentoring, and growing a high-caliber engineering team to meet the scale and complexity of the AV roadmap.

About the team
The Autonomous Vehicle Software team is a fast-moving, cross-disciplinary group responsible for building the entire software stack that powers Amazon’s last-mile autonomous delivery systems. This includes onboard perception, localization, navigation, planning, and safety; edge compute and telemetry infrastructure; cloud-based mission management, fleet orchestration, simulation, teleoperations, and foundation model integration. The team collaborates closely with hardware engineering, product, and operations to deliver reliable, scalable, and intelligent autonomy systems. Engineers here solve some of the most complex technical challenges in robotics and AI, working on production systems deployed across real-world environments.