Lead Machine Learning, Computer Vision Software Engineer

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

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)

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