Nuvia
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:
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.
Job Overview
Do you want to work in the biggest emerging field of technology since the birth of the Internet? Machine learning is going to change EVERYTHING. We are rapidly expanding our AI Software Engineering team in Taiwan. This team has been working with a large number of other AI R&D teams around the world. We invite you to join this team to apply your skills to expand Qualcomm’s already impressive AI portfolio (known as Qualcomm AI Stack), with a special focus on software platform to fulfill AI applications for Mobile, Automotive, IoT and HPC devices. We combine high performance software with cutting edge hardware to run deep neural networks fast, and we do it with the lowest power on our incredible range of Snapdragon processors.
In this position you will be responsible for enabling advanced machine learning usage scenarios on top of Qualcomm’s hardware and software infrastructure and participate in system software, tools development, maintenance and evolution for various ML computing SDK for Qualcomm processors. To extend SDK’s capability and applicability, you will work with neural network frameworks like Pytorch and TensorFlow, extend our neural net engine to support the latest and greatest DNNs emerging from the research community, and optimize for next generation hardware acceleration cores. You will also validate the performance and accuracy of the engine through detailed analysis and test coverage. Live and breathe software development with excellent analytical, development, and debugging skills and partner with industry-leading organizations for delivering next generation of machine learning technology into the hands of millions.
Minimum Qualifications
• Bachelor or Master student in Computer Science, Electrical Engineering, or related field.
• Good experience with Programming Language such as C, C++, Java, Python etc.
• Available for at least 6 months internship
Preferred Qualifications
• Experience in large-scale software project.
• Ability to speak and write in English fluently.
• Experience in machine learning software stack and hardware architecture.
• Experience in programming domain-specific accelerators, including DSP, GPU etc.
• Experience in compiler design and implementation, image/video/speech algorithms and software/hardware implementation techniques.
• Experience in Unix, Android or Linux operating system, framework, application and development environment.
Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail myhr.support@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.
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.