About the job
As a Software Development Engineer for Amazon Robotics, you will be at the forefront of building and deploying computer vision systems that power our robots. This role combines deep expertise in software engineering, computer vision, and robotics to solve complex challenges in real-world perception, navigation, and path planning. You will work closely with applied scientists, software developers, and product teams to architect, design, and implement robust software systems that enable safe and efficient operations. This position requires a unique blend of strong software engineering fundamentals and computer vision expertise, with a focus on transforming research concepts into production-ready, scalable solutions that operate reliably in diverse real-world environments.
Responsibilities
Design, build, and optimize production software systems for computer vision–based perception, navigation, and planning
Lead the development of scalable, high-performance computer vision pipelines including model integration, inference optimization, and deployment
Transform research concepts into production-ready solutions that meet strict safety and performance requirements
Develop novel software approaches to solve complex technical challenges in perception, navigation, and planning
Create and implement metrics, evaluation frameworks, and testing infrastructure to measure system performance and reliability
Collaborate with applied scientists and engineering teams to integrate ML/CV models into the production stack
Qualifications
Minimum
8+ years of non-internship professional software development experience
Experience as a mentor, tech lead or leading an engineering team
5+ years of programming with at least one software programming language experience
5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Bachelor's degree
5+ years of CS, CE, ML or related field experience
Preferred
5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Master's degree in computer science or equivalent
Experience with deep learning frameworks (PyTorch, TensorFlow) and model deployment/optimization (TensorRT, ONNX)
Experience with real-time systems, embedded platforms, or edge deployment
Publications or patents in computer vision or related fields at top-tier peer-reviewed conferences or journals