Embedded Machine Learning Engineer (m­­/­­f­­/­­d)

- Master's degree in computer science, electrical engineering or related field - Relevant practical working experience - Strong software development skills in C++. You have a passion for clean, well-tested, and well-documented code - Practical experience with Texas Instruments TDA4 and TIDL deep learning library and related tools - Experience in integrating multiple SW modules into one system. Solid understanding of process scheduling, threading, pipelining, resource allocation - Knowledge in compute HW architectures: CPU, GPU, DSP, NPU, SoC, AI accelerators - Fluent in English. Excellent written and verbal communication skills & interpersonal skills - Practical experience with Linux, version control systems (Git), build systems (Make, CMake, Autotools) and code review tools (Gerrit, Gitlab, Bitbucket) - Experience with QNX RTOS (cross-compilation, integration, development)