Machine Learning Software Engineer

• Company Qualcomm
• No. of Openings 10+
• Salary Not Disclosed
• Work Type on-site

Job Description :

Company

Qualcomm Korea YH

Job Area

Engineering Group, Engineering Group > Machine Learning Engineering

Job Overview

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 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, Toronto, Amsterdam, and Beijing. You will work on embedded AI framework which is SW/HW codesigned 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.

Preferred Qualifications

• Hands-on experience on ML frameworks such as PyTorch and TensorFlow.
• Proficiency in C/C++ programming.
• Experience on Embedded/Mobile programming.
• Experience on building software frameworks.
• Experience on collaborating with multi-disciplinary teams in a dynamic research environment.
• Master/Ph.D degree or 7+ years of work experience in Software Engineering.
   

Minimum Qualifications

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

Good sense of data structures, algorithms, and system designs.

Basic knowledge of machine learning and deep learning theories.

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

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