As a Senior Software Engineer on our Computer Vision team, you will collaborate closely to turn cutting-edge research ideas and prototypes into robust, production-ready code. This software runs on tens of thousands of edge devices and sensors deployed globally in live retail environments.

Our stack is C++-centric, with a strong focus on Android/Yocto platforms and real-time ML model deployment. We are looking for someone with deep expertise in these areas, ready to make a meaningful impact in both research and production environments.

Responsibilities:

Develop, optimize, and maintain C++ code for computer vision and ML applications.
Develop and optimize code for real-time performance (SIMD, multithreading, OpenMP).
Optimize code for performance across various hardware accelerators (CPU, GPU, DSP).
Convert and tune neural networks (e.g., using TFLite, OpenVino, ONNX) for Android/Yocto/Intel edge deployment.
Conduct performance benchmarking and profiling across platforms
Collaborate with cross-functional teams on data annotation and evaluation processes.
Analyze algorithm outputs and video/image data for improvements and QA.

Qualifications:

Bachelor's or Master’s degree in Computer Science, Software Engineering, or related field.
Strong proficiency in C++ (modern standards and optimization techniques).
Hands-on experience with Android/Yocto development, especially for native code and NDK
Proven experience deploying ML models on mobile or embedded platforms.
Ability to write efficient, hardware-conscious code for constrained environments.

About RetailNext

At RetailNext, we’re redefining the way retailers understand and optimize the in-store experience. As the leading in-store analytics platform, we help global brands make data-driven decisions to improve performance, enhance customer engagement, and thrive in an ever-evolving retail landscape.

With a presence in over 90 countries and partnerships with some of the world’s most iconic brands, our team is passionate about combining cutting-edge technology with real-world insights to drive meaningful impact.

What’s It Like to Work Here?