Qualcomm Computer Vision Systems Engineer in San Diego, California
Company:Qualcomm Technologies, Inc.
Job Area:Engineering Group, Engineering Group > Video Systems, HW Architecture
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.
Qualcomm provides complete chipset solution that includes CPU, Modem, Application Processor, Multi-media engines, Interconnect and more. Power is a key area that drives the value of our chips. As fabrication technology node shrinks, and performance requirement become higher, it is crucial to provide power optimized solutions, which is the responsibility of the group that you will be working in.
Qualcomm Video Systems group provides video and vision IP solutions for all of Qualcomm’s Snapdragon processors including mobile, automotive and VR/AR. The team’s scope includes algorithm and architecture design for video analytics, computer vision and machine learning with power and performance optimization.
The selected candidate, along with his/her colleagues and other team members, will have responsibilities in one or more of the following areas:
Research and develop computer vision algorithms for mobile, automotive and AR/VR applications with performance and power efficiency
Define systems architecture for computer vision solutions including data flow, task partition, interface and systems interoperation.
Design and implement C/C++ simulator for computer vision functions. The simulator will be used for algorithms development, verification, and quality evaluation.
Work on DSP or GPU optimization of computer vision algorithms
Define methodology for performance and power analysis and develop innovative technologies to reduce memory bandwidth, processing latency, power consumption.
Bachelor's degree or equivalent in Computer or Electrical Engineering, Computer Science, or related field.
2+ years Software Engineering, Hardware Engineering, Electrical Engineering, Systems Engineering, or related work experience
Experience with computer vision and machine learning
Proficiency in C/C++
Embedded system architecture including platform architecture, software stack, security and virtualization.
Strong analytical and mathematical skills to develop new computer vision algorithms
Work experience with VR/AR/ADAS systems design
DSP/Neon/GPU optimization and multi-thread programming
Experience in motion analysis, object detection/tracking and pattern recognition
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