Software Development Engineer, Ring AI (Edge AI), RBKS AI

With affordable solutions that work on any home, Ring is committed to offering smart security that's accessible to everyone. Now Ring AI is seeking experienced software engineers to build the on-device intelligence that powers the next generation of Ring cameras and doorbells. What will you help us create?

You'll develop Edge AI software for embedded systems that protect millions of homes worldwide. Your work will bring computer vision and machine learning models onto resource-constrained devices - turning raw video into meaningful signals for our customers, in real time, on-device. Beyond leveraging AI agents and Generative AI tools, you'll also contribute to AI-powered workflows that are reshaping how embedded software gets built. Backed by Amazon's world-class AI resources and infrastructure, you'll have the support to continuously explore emerging AI technologies, enhance your skills, and drive innovation in product development.

Key job responsibilities

As a Software Development Engineer on Ring AI (Edge AI), you'll be a core member of the team building the on-device perception stack. You'll collaborate with engineers and applied scientists across multiple countries, gaining exposure to diverse perspectives and global-scale product development. This is a unique opportunity to grow your career within a multi-national technology leader while working alongside some of the brightest minds in embedded computer vision.

The ideal candidate would be passionate about building intelligent IoT products and eager to push the boundaries of what neural networks can do on constrained embedded targets. You must be responsive, flexible, and able to succeed within an open, collaborative peer environment.

The ideal candidate:

- Is enthusiastic about developing and adopting AI/ML technologies and tools to enhance both product features and software development practices

- Enjoys working side by side with partners, colleagues, and teams across different countries and time zones

- Is highly effective and thrives in a dynamic environment with multiple, changing priorities

- Knows what is important when shipping products to customers and has been through the process from start to finish

- Is comfortable with proactive outward communication and technical leadership and never shies away from a challenge

Work hard. Have fun. Make history.

Basic qualifications

- 4+ years of non-internship professional software development experience

- 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

- Bachelor's degree or above in Computer Science, Computer Engineering, Electrical Engineering, or related fields

- Experience in embedded development in C/C++, or experience in computer architecture

- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers

- Knowledge of one or more ML Frameworks (e.g., PyTorch, TensorFlow) and ML methods including NLP models (BERT, GPT-2/3), computer vision-based models (object detection, image recognition), and text-based models (Seq2Seq, Topic modeling)

- Experience with AI/ML technologies

- Experience with Linux/Unix operating systems

- Experience developing software for embedded Linux or RTOS environments

Preferred qualifications

- 4+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

- Master's degree or above in Computer Science, Computer Engineering, Electrical Engineering, or related fields

- Hands-on experience with FreeRTOS, or a comparable RTOS (Zephyr, ThreadX, NuttX) - including task scheduling, synchronization primitives, and writing ISR-safe code

- Experience designing software under strict latency, memory, or power budgets

- Familiarity with modern edge model architectures - MobileNet, YOLO family, SSD, small transformer variants, RNN / GRU / LSTM for temporal tasks

- Experience with object detection, multi-object tracking (Kalman, IoU, Hungarian-style), or motion classification pipelines

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