Robotics Vision Software Engineer

- 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
- 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

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The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, MA, Westboro - 168,100.00 - 227,400.00 USD annually
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.

Key job 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