System Engineer (Machine learning)

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 Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software.

Summary

Qualcomm's Multimedia R&D and Standards Group is seeking passionate candidates for its Computer Vision team in Shanghai, China. The team develops advanced algorithms, architectures and systems for computer vision, graphics and machine learning application, enriching the embedded systems for Smartphone, XR, Automotive, PC, and IoT products.

The candidate will have responsibilities including but not limited to:

• Design and implementation of Computer Vision / Graphics / Machine Learning applications 
• Development of concept proving demo on Qualcomm platform
• Optimization of system performance to make the technology ready for commercialization

Minimal Qualifications:

• Experience in Computer Vision / Graphics / Machine Learning related projects
• Bachelor or Master degree in Electronic Engineering, Computer Science, or other relevant majors
• Proficiency in C/C++ is a must.
• Proficiency in cross-platform (Windows, Android, Linux, QNX) development is a must.
• Proficiency in English

Preferred Qualifications

• Proficiency in Python/Java/Kotlin/QT is a plus.
• Experience on Unreal /Unity development is a plus
• Experience of deep learning model design, pruning, compression, quantization and on-device deployment is a plus
• Experience with Camera framework and sensor related image processing is a plus.
• Experience with Qualcomm platform is a plus.
• Experience with performance optimization with ARM/ DSP/GPU/NPU is a plus.