Machine Learning Software Engineer – Embedded-AI-Framework Full-time

Company:
Qualcomm Korea YH

Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

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.

We are making AI technology be around us at mobile/edge devices, attend and assist people and learn from interaction without many labels, together with other devices in a federated way. We are based in Seoul and work together with our other team members in San Diego, Amsterdam, and Beijing. You will work on an embedded AI framework which is SW/HW co-designed as a 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 heterogeneous HW accelerators (CPU, GPU, NPU) for AI.

Required Qualifications:

– Proficiency in Python and C/C++ programming.
– Basic knowledge of machine learning and deep learning.
– Hands-on experience on ML frameworks such as PyTorch and TensorFlow.
– Strong development experience in Embedded/Mobile environment.

Preferred Qualifications:

– Experience large-scale software development (open-source experience is a plus).
– Previous experience working in an Agile process and collaborating with multi-disciplinary teams in a dynamic research environment.
– Ph.D. degree or 7+ years of work experience in Software Engineering.
– Experience in Robotics platforms.

Minimum Qualifications:
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master’s degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

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

Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.

Qualcomm is an equal opportunity employer and supports workforce diversity.

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.