Our client, a leading manufacturer of high-end household appliances, is expanding into new smart product lines. As part of this strategic initiative, a large-scale global program is being implemented across the company's IP portfolio. This includes the development of new embedded software, enhancements to cloud infrastructure.

Responsibilities:

- Work directly with computer vision perception engineers, and camera ISP engineers.

- Define the image quality requirements for customer use cases

- Develop image processing algorithms to optimizing the camera image quality for performance improvement of computer vision applications

- Develop custom ML models for visual recognition and training it from scratch

- Quantization and pruning the ML models

- Data evaluation using relevant metrics to increase the model performance

- Implement computer vision/image processing algorithms in fast/optimal C++ code

- Implement heuristic/math algorithms and probabilistic methods for camera AI

- Research existing C++ solutions for CV logic

- Develop cross platform C++ code

- Cover algorithms and CV code with unitest

- Ramp up on new technologies related to CV/ML/algorithms (not R&D)

- Integrate machine learning modules into algorithms

Mandatory Skills Description:

- Bachelor's Degree or greater in Computer Science, Software Engineering, or related field.

- 3-5 years of experience developing computer vision applications/algorithms

- Participate in at least 2 image processing / computer vision projects and 1 of them productized

- Image processing / computer vision background/understanding

- Strong C/C++ experience

- Experience with OpenCV and ML frameworks such as Pytorch, TensorFlow, TensorFlow Lite

- Deep understanding of neural network architectures

- Experience to work with embedded devices in C++ on Linux

- Decent understanding geometry 2D/3D and algebra

- Desire to learn new technologies

- Desire to follow test driven development(in CV/ML too)

Nice-to-Have Skills Description:

- Experience with machine learning integration, inference engines

- Machine learning general understanding

- Building for Android/Yocto experience

- OpenCL/cuda or OpenGL/Vulkan(shaders) experience/understanding and desire to learn or any different SIMD language