Passionate about image signal processing and ready to lead the algorithmic direction of a camera imaging team? Join us as the lead ISP algorithm developer, driving the evolution of Ring's imaging pipeline from classical ISP toward hybrid AI-ISP architectures.

As a Lead ISP Algorithm Developer, you would be the technical authority on imaging algorithms, working together with algorithm developers, SW developers, IQ Engineers, architects, and various stakeholders on different sites. When you are successful, end users will have Ring cameras that produce stunning image quality through algorithms you designed and led to production — combining proven ISP techniques with AI enhancements to capture every moment with improved clarity and great color, no matter whether it is day or night.

You will set the technical direction for ISP algorithms, mentor other algorithm developers, and make the key architectural decisions on how the imaging pipeline evolves. You understand how a traditional imaging pipeline works — from sensor to demosaic, noise reduction, tone mapping, color processing — and you know where AI can replace, augment, or guide these stages. You will architect hybrid solutions where conventional algorithms and neural networks work together, each doing what they do best.

This work requires deep signal processing skills combined with practical AI/ML experience, and the leadership to shape and drive the vision. You need to understand both classical and AI worlds well enough to make the right architectural decisions and guide others in implementing them. It is essential to have hands-on experience with ISP pipelines and be able to design solutions that are deployable on embedded hardware with NPU acceleration.

In Tampere, we have experts in most areas sitting in the very same office; you can just go and visit them and maybe sketch your idea on paper or whiteboard. The expert network at Amazon Ring is also there to ensure success in your work.

If you feel this is for you, please apply now.

Key job responsibilities
As a Lead ISP Algorithm Developer, your output is algorithm and ISP for millions of devices.

Responsibilities include setting the technical direction for imaging algorithms, designing hybrid ISP architectures, hands-on development of the most critical algorithms, code and design reviews, and mentoring algorithm developers in the team.

There is always something that can be improved in image processing; your task is to figure out how to do it — and critically, to decide whether the solution should be classical, AI-based, or a combination. You will define how AI and conventional algorithms interact: interfaces between ISP blocks and AI models, tradeoffs between quality, latency, and compute, and ensuring the system is maintainable across products. Other algorithm developers will look to you for guidance on approach and design.

If you have ISP algorithm development, signal processing, AI/ML, and system architecture skills, please mention them in your resume.

You will work with hardware and prototype devices on Amazon Tampere premises. However, we have a flexible culture where ultimately results matter.

A day in the life
The tone mapping in low light needs improvement. A classical tone curve alone cannot handle the dynamic range, but a pure AI approach is too heavy for the NPU budget. You design a hybrid solution where AE provides scene analysis terms to guide an efficient AI tone mapping model, walk the team through the design, and assign implementation tasks.

A next generation product needs improved HDR. You evaluate whether AI replacement or augmentation of the existing pipeline gives the best quality-per-compute, design the architecture, and guide the team through implementation.

About the team
At Tampere, we focus on cameras and peripherals related to them; the core of what makes the Ring camera user experience. Our team is a growing center of Imaging excellence, and some of the members are located in Cambridge. Accumulated knowledge in the imaging area is massive due to experienced personnel. We have a good spectrum ranging from junior to senior engineers. You will become a part of imaging ecosystem.

Basic Qualifications

• MSc, D.Sc., or equivalent in Computer Science, Electrical Engineering, Signal Processing, or related field
• Deep understanding of image signal processing pipelines and classical ISP algorithms
• Practical experience with AI/ML algorithm development and deployment
• Proficiency in C++ for embedded systems and algorithm implementation
• Strong Python skills for prototyping and ML development (Py Torch, Num Py, OpenCV, Sci Py)
• Track record of leading algorithm development from concept to product
• Experience mentoring or guiding other developers on algorithmic design
• Strong signal processing fundamentals
• Experience with continuous integration, version control (git), unit testing
• Strong communication skills, with the ability to document and present ideas and designs

Preferred Qualifications

• Experience designing hybrid systems where classical and AI algorithms coexist
• Experience with model optimization for embedded deployment (quantization, pruning, NPU mapping)
• Experience with AI accelerators and inference engines (TensorRT, ONNX Runtime, Execu Torch, etc.)
• Knowledge of camera control algorithms (AE, AWB, AF) and their interaction with ISP
• Experience with ISP hardware blocks and their programmability
• Understanding of learned ISP techniques and end-to-end neural ISP research
• Experience in designing APIs, libraries, and highly maintainable components
• Publications or patents in imaging or ISP

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