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inference on resource-constrained embedded edge platforms. Establishing rigorous benchmarking methodologies to systematically evaluate the tradeoffs between algorithmic accuracy, compute latency, and power
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to deeply understand how various AI algorithms work and how to implement them efficiently on a wide range of existing and upcoming hardware. Help us push the boundaries of AI compute, collaborating with
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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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