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Job Area:
Interns Group, Interns Group > Interim Engineering Intern - SW
Qualcomm is expanding its automotive compute leadership in high performance cockpit electronics to L2/L3/L4 ADAS & automated driving solutions and has a worldwide team to actively design and prototype the brain of next-generation automated vehicles. Especially in Seoul, South Korea, we are looking for a talented PhD student who has expertise in the following topics:
Deep learning architectures/pipelines to perform end-to-end automated driving, i.e., perception to planning, based on vision and/or LLM
State-of-the-art deep learning models to perform camera perception for 3D lane/road boundaries
Minimum Qualifications
Must be a PhD student who is available for 3-6 months and expected to graduate within few years
Strong understanding and experience of deep learning
Proficiency in one of deep learning tools, e.g., PyTorch and TensorFlow
Good communication and presentation skills
Preferred Qualifications
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
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