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and implementing computer vision and perception pipelines for challenging real-world, multimodal sensor environments, supported by strong expertise in ML, DL and AI algorithms. Proficient in training
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, and rigorous spatio-temporal calibration of heterogeneous sensor arrays. Sensor modalities: Extensive experience processing and synchronizing time-series data from Radar, LiDAR, and IMUs, alongside a
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programmability, network exposure APIs, service orchestration, O‑RAN, network slicing, and data-driven optimization. You have proven experience with AI/ML pipelines, including data processing, model training
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you in this process; not only with words but also with tangible actions. Through imec.academy, 'our corporate university', we actively invest in your development to further your technical and personal
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hardware architectures. The applications domains are diverse, ranging from AI for science, over AI for semiconductor process technologies to automotive and health applications. Within this department
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boundary scan, compression, MBIST/R(epair), OPCG (OCC) for large-scale low-power designs in advanced nodes (7nm and beyond) Generate test patterns, debug/improve fault coverage, support debug of post-silicon
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The team is responsible for the translation of early‑stage device and system concepts into feasible integration flows, working closely with device, process development, design, and characterization teams