Amazon
Software Development Engineer II - Amazon Robotics, Autonomous Mobility, Motion
$144K–$194K
North Reading, MA · Full-time · Posted Jul 28, 2026
- Experience
- 3+ years of non-internship software development; 2+ years each in full software development lifecycle and non-internship design or architecture.
- Education
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
About the job
Develops and operates autonomous robot navigation software, including task planning, motion planning, and control, for Amazon’s production robotics fleet.
What you'll do
- Design, deploy, and improve task-planning, motion-planning, and control software for autonomous mobile robots.
- Support production systems through troubleshooting, monitoring, regression alarming, and operational improvements.
- Integrate machine-learning models and collaborate across teams to scale autonomous navigation to new environments.
What they ask for
- 3+ years of non-internship professional software development experience.
- 2+ years of full software development lifecycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
- 2+ years of non-internship design or architecture experience involving design patterns, reliability, and scaling.
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
Nice to have
- Production experience with C++ or TypeScript; robotics frameworks such as ROS or ROS2.
- Experience with autonomous navigation, machine-learning frameworks and production ML integration, embedded systems, or real-time software.
Pay
143,700.00 - 194,400.00 USD annually (base salary)
Tools
C++, TypeScript, Python, Java, ROS/ROS2, TensorFlow, TensorRT, PyTorch
AI focus
Opportunity to develop ML- and AI-based motion- and task-planning systems; integrate machine-learning models into production motion-planning and control systems.
Model-written summary · the original posting is authoritative