Daniel Carlsson is an AI/ML Acceleration Engineer with a Master of Science in Electrical Engineering, specializing in System-on-Chip technology. They have nearly 10 years of professional experience, including roles as a DSP Hardware Designer at MediaTek and an FPGA Engineer at Veoneer. Currently, Daniel works as a Staff Engineer at Qualcomm, focusing on automotive in-vehicle vision software and machine learning. They have a strong interest in hardware acceleration of neural networks and thrive on problem-solving and continuous improvement.
Location
Linköping, Sweden
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