Project Description:
- 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
Languages:
