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Qualcomm AI Research is looking for world-class researchers in deep learning to join a high-caliber team of engineers inventing machine-learning technology to provide best-in-class solutions while running with the most efficient use of power, memory, and computation. Members of our team are part of a multi-disciplinary core research group within Qualcomm which spans software, hardware, and systems. Our members contribute technology deployed worldwide by partnering with our business teams across mobile, compute, automotive, cloud, and IOT. We also perform and publish state-of-the-art research on a wide range of topics in machine-learning, ranging from general theory to techniques that enable deployment on resource-constrained devices. Our research team has demonstrated first-in-the-world research and proof-of-concepts in areas such model efficiency, neural video codecs, generative ai, video semantic segmentation, federated learning, and wireless RF sensing, to name a few. We work to then convert our research and industry state-of-the-art methods into best-in-class tools such as Qualcomm Innovation Center’s AI Model Efficiency Toolkit (https://github.com/quic/aimet). Please see our AI focus page at https://qualcomm.com/ai for more details.
