Amazon Sr Embedded Software Development Engineer Ring AI 

United States, California, Sunnyvale 

39502352

Key job responsibilities
You will be leading a cross-functional development team, responsible for implementing and improving computer vision and machine learning algorithms that deliver high-performance detection and classification at exceptionally low power consumption. As a senior member of the team, you will oversee the deployment of software to millions of existing Ring devices, and improve customer experience with cutting-edge SOCs and software techniques in new products.A day in the life
You will work closely with applied science teams working on computer vision algorithms and help implement on device to deliver exciting features for customers. You will be responsible for leading and delivering on large efforts with other engineers and also help establish best practices and improve operational excellence within the team.Sunnyvale, CA, USA

- 5+ years of programming with at least one software programming language experience
- 5+ years of non-internship professional software development experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Bachelor's degree in computer science or equivalent
- Experience as a mentor, tech lead or leading an engineering team
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- Experience in embedded development in C/C++
- Experience with the deployment and/or development of Machine Learning and Deep Learning models on Edge
- Excellent communication and interpersonal skills
- Excellent data analysis and troubleshooting skills

- Master's degree in computer science or equivalent
- Knowledge of ARM CPUs
- Experience implementing computer vision machine learning algorithms on edge
- Knowledge of Unix/Linux environments and embedded Linux
- Experience with software testing (unit, integration, and system testing)
- Experience with Python and tool creation
- Experience working with distributed systems or applications