Company:

　　Qualcomm Korea YH

　　Job Area:

　　Interns Group, Interns Group > Interim Engineering Intern - SW

　　Qualcomm Overview:

　　Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in.

　　General Summary:

　　Creates advanced machine learning techniques that enable a broad set of technology verticals or designs and extends training or runtime frameworks or model efficiency software tools ( https://github/quic/aimet ) with new features and optimizations.

　　Designs, builds, and develops advanced machine learning hardware (co-designed with machine learning software) for inference or training solutions, such as the discovery and improvement of state-of-the-art machine learning frameworks that have general applicability at the functional platform level. Specifically, this job position will focus on audio, camera, graphics, video, sensors, wireless, and other functionality over various operating systems running on ARM processors and other embedded hardware like DSP/NSP/GPU processors that are embedded into mobile, edge, auto, and IoT products, or on data center based systems such as GPUs or dedicated AI hardware.

　　Develops optimized software to enable AI models efficiently deployed on hardware, such as machine learning kernels, compiler tools, or model efficiency tools, to make sure of specific hardware features, and/or working closely with hardware teams for joint design and development. Works with and/or optimizes machine learning software frameworks like TensorFlow or PyTorch to efficiently run machine learning algorithms on hardware.

　　Works on the embedded AI framework which is SW/HW co-designed as part of a multi-disciplinary team of machine learning researchers and software developers. This will involve working in a dynamic research environment, collaborating with internal teams across continents, understanding the architecture of Qualcomm's SOC compute and ML HW accelerators.

　　Minimum Qualifications:

　　Experience with one or more programming languages suitable for machine learning systems (e.g., Python, C, C++)

　　Hands-on experience on ML frameworks such as PyTorch and TensorFlow.

　　Preferred Qualifications:

　　Proficiency in C/C++ programming.

　　1+ years of experience on Mobile/Embedded programming.

　　1+ years of experience with low-level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.

　　1+ years of experience with software libraries for hardware accelerators (e.g., CUDA, OpenCL)

　　1+ years of experience with optimization techniques for Machine Learning and Deep Learning models (e.g., Quantization, Pruning)

　　2+ years of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).

　　Applicants : If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email to accommodationsupport

　　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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　　If you would like more information about this role, please contact Qualcomm Careers (http://www.qualcomm.com/contact/corporate) .

　　EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification