Sde Ii, Perception and Slam, Autonomous Mobility

Amazon Amazon · Big Tech · North Reading, MA · Software Development

Software Development Engineer II on the Autonomous Mobility team at Amazon Robotics, focusing on perception, localization, and machine learning for warehouse robots. The role involves designing and developing perception capabilities, exploring agentic AI for task generalization, implementing robotic applications in the cloud, and collaborating on ML algorithm deployment. It also includes contributing to team strategy, prototyping, performance tuning, and mentoring.

What you'd actually do

  1. Design and develop perception capabilities for new sensor modalities, 3D obstacle avoidance, and localization to support a new types of mobile robots.
  2. Explore new agentic AI capabilities for task generalization.
  3. Design and implement robotic applications and infrastructure in the cloud.
  4. Collaborate with machine learning and perception experts to implement, measure, and deploy algorithms, such as machine learning models.
  5. Influence the team's strategy and contribute to long-term vision and roadmap for generalizable autonomous mobile robotics.

Skills

Required

  • 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
  • Experience programming with at least one software programming language
  • Experience with AWS or other cloud services.

Nice to have

  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Hands-on experience with robotic systems.
  • Experience with robotic sensor modalities, obstacle avoidance, and localization systems.
  • Experience with AWS - any or all of EC2, S3, EBS, ELB, Dynamo DB, EMR, Glue, Athena
  • Experience developing cloud services with an understanding of design for scalability, performance and reliability
  • Experience with mobile robotics, including the areas of machine learning, data labeling, sensor procession, perception, and localization.
  • Experience with AI-native development and Agentic AI tools and frameworks.

What the JD emphasized

  • agentic AI capabilities
  • machine learning
  • perception
  • localization
  • mobile robots
  • autonomous mobile robots

Other signals

  • Develop perception capabilities for new sensor modalities
  • Explore new agentic AI capabilities for task generalization
  • Design and implement robotic applications and infrastructure in the cloud
  • Collaborate with machine learning and perception experts to implement, measure, and deploy algorithms