Senior Imaging Software Engineer

You are expected to define, develop and orchestrate new technical architectures to support the strategic imaging technology innovation pipeline, end to end across all ecosystems and in all device categories. Your responsibilities include taking proof-of-concepts in emerging imaging technologies and productize them to deliver high-performance, high-quality software libraries. Implement performance optimization of algorithms to accelerate on GPUs and CPUs processors. Able to work in fast-paced working environment; Agile teamwork experience is a plus. Partner with SQA to enhance the test-setup including hardware, software, and Test Automation environments. Follow best practices for source control development, continuous integration, automated testing, and release management. Produce and maintain useful and usable documentation of work. Partner with technical writers to provide and review technical data relating to documentation for the SDK going into technical publication. Completed Bachelor's or Master's in Computer Science and/or Electrical Engineering with an emphasis and passion for multimedia technologies and 4+ years of experience in professional imaging and or system and application engineering. Experience implementing, optimizing and deploying machine learning models in production using frameworks such as PyTorch and TensorFlow, including deep learning architectures for image processing (e.g. ResNet and other CNN-based models) Strong experience in coding with C and C++. Experience working with scripting languages - particularly Python - for automation, data processing and workflow optimization. Experience improving C/C++ CPU performance through multithreading (including OpenMP and SIMD vectorization.) Experience with AI and ML models, preferably in the vision space. Experience with implementing C++ inference support for ONNYX models using onnxruntime and/or other ML inference runtimes. Experience in developing applications related to computer graphics, computer vision, image processing and/or video processing is required. Microsoft Windows or Linux development experience Strong communication skills, both written and verbal. Collaborative team player with a demonstrated willingness to learn and adopt new skills. Experience accelerating C/C++ code to accelerate on GPU processors using graphics programming languages (OpenGL, Vulkan or Direct3D) is a plus. Experience optimizing C/C++ applications for GPU execution using GPU compute frameworks (e.g., CUDA or OpenCL). Experience porting MATLAB code to C/C++.