Job Information
Qualcomm Machine Learning Engineer in Shenzhen, China
Company:
Qualcomm China
Job Area:
Engineering Group, Engineering Group > Software Engineering
General Summary:
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
Overview
In this position you will be responsible for developing model tools and delivering advanced machine learning solutions on top of Qualcomm’s hardware and software infrastructure to key customers. You will work with ML frameworks like PyTorch and TensorFlow, extend Qualcomm AI software platform and AI Model Efficiency Toolkit to support the latest and greatest ML models, including Gen AI models, analyzing accuracy loss, developing quantization techniques and finetuning model to improve on-target accuracy.
Skills/Experience
Good Python/C++ skills with strong fundamentals in programming.
Solid understanding of machine learning technology. Hand-on experience in design/implementation of deep learning networks via PyTorch or TensorFlow.
Expertise in at least one of the following areas:
LLM or Diffusion model training, finetuning.
Pytorch model quantization or compression toolkit development.
CUDA programming and debugging.
Deploying model via SNPE/QNN or other machine learning frameworks.
DSP software development and algorithm implementation.
Ability to quickly learn new technologies and work on resolving customer reported technical problems during mobile or wireless communication product development cycles.
Education Requirements
Required: Bachelor, Computer Engineering and/or Computer Science and/or Electrical Engineering
Preferred: Master or PhD, Computer Engineering and/or Computer Science and/or Electrical Engineering
All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.
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 disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here (https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&sysparm_article=KB0039028) . 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. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
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
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