The common responsibilities for this position include developing and implementing AI-related algorithms and software for industrial applications, particularly in deep learning and computer vision. The role involves conducting research on advanced deep-learning algorithms, collaborating with project managers and architects for project execution, and proposing and coordinating projects to advance technology. Responsibilities also include developing automated algorithms for analog and mixed-signal circuits, signal processing algorithms, and software tools using Matlab, Simulink, and Vivado. The position requires participation in physical layer DSP/FPGA solution verifications for 5G/6G R&D projects, including developing and maintaining L1/PHY driver software, creating test infrastructure software, and troubleshooting hardware platforms. Additional duties involve conducting research on SLAM and localization for robotics applications, designing control algorithms for industrial automation, and documenting processes throughout the System Development Life Cycle (SDLC).
The percentages next to each skill reflect the sector’s demands in these respective skills. E.g., 30% means this skill has been listed in 30% of all the job postings in this sector.
The skills distribution tells you what specific skill sets are in demand. E.g., Skills with a distribution of “More than 50%” means that these skills are wanted in more than 50% of the job postings.
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Academic degree required as indicated by all job postings
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