Computer Vision and Machine Learning Engineer
Qualcomm
**Company:**
Qualcomm China
**Job Area:**
Engineering Group, Engineering Group > Machine Learning Engineering
**General Summary:**
**Summary**
Qualcomm's Multimedia R&D Group is seeking passionate candidates for its Computer Vision team in Shanghai, China. The team develops advanced algorithms, architectures and systems for computer vision and machine learning application, enriching the embedded systems for Smartphone, IoT, XR, PC, and Automotive products.
The candidate will have responsibilities including but not limited to:
+ Utilizing modern machine learning techniques for computer vision tasks
+ Development of proof-of-concept demo on Qualcomm platforms
+ Tackling practical issues in terms of accuracy and efficiency for specific application scenarios to make the computer vision technology ready for commercialization
+ Tracking cutting-edge computer vision and machine learning techniques and new emerging application fields
+ Proposing new ideas in algorithm / application for technology commercialization and patent application
**Minimal Qualifications:**
+ PhD degree (or Master with >3 years of working experience) in Electronic Engineering, Computer Science, or other relevant majors
+ Hands-on experience in the computer vision research in one or more of the following Computer Vision/ Machine Learning related areas, such as
+ Biometrics
+ Face / hand / body detection and 2D/3D pose estimation
+ Object detection
+ Deepfake detection / watermarking
+ Vision foundation models / Vision language model
+ AIGC
+ Proficiency in C/C++/Python
+ Proficiency in English
+ Good team spirit
**Preferred Qualifications**
+ Experience with On-device deep learning model deployment
+ Experience with Qualcomm platform
+ Experience with Camera framework
+ Experience with performance optimization with ARM/DSP/GPU/NPU
+ Experience with cross-platform (Windows, Android, Linux, QNX) development
**Minimum Qualifications:**
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ 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 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field.
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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