Graduate Embedded Software Development Engineer

1 month ago

Cambridge Cambridgeshire, United Kingdom Amazon Full time

Embedded Software Development Engineer, Ring
Job ID: 2603243 | Evi Technologies Limited
Embedded Software Engineer to join the team, to support the computer vision machine learning infrastructure that provides smart and rich notifications to Ring customers worldwide.
We're committed to making home and neighborhood security accessible and effective for everyone – while working hard to bring communities together. From the video doorbell to the DIY Ring Alarm system, Ring’s smart home security product line offers users affordable whole-home and neighborhood security.
You will be leading a cross-functional development team, responsible for implementing and improving computer vision 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.
You will work closely with applied science teams working on computer vision algorithms to help implement on device and deliver exciting features for customers. You will be responsible for leading and delivering on large efforts with other developers and also help establish best practices and improve operational excellence within the team.
Experience in embedded development in C/C++
- Knowledge of computer science fundamentals in object-oriented design
- 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 in professional, non-internship software development
- Bachelor's degree in computer science or equivalent
- Experience with the deployment and/or development of Machine Learning and Deep Learning models on Edge
- Proficient data analysis and troubleshooting skills
Master's degree in computer science or equivalent
- 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
- Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect, use and transfer the personal data of our candidates.
If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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