General Summary:
Responsibilities:
Part of video IP performance team and will be responsible for video IP performance modeling; integration with other IPs into an SOC system; interaction with different teams including design, verification, system, firmware, software, SOC and power teams; video hardware IP performance review and signoff, performance KPI numbers correlation during different signoff stages.
Qualcomm is the innovation leader in the area of integrated chipsets that power advanced mobile devices, XR/IoT/Automotive & compute platforms. We are building on and expanding our reputation as the industry powerhouse for innovation in both wireless technologies and enabling advanced multimedia capabilities. We are seeking experienced system engineers for our cutting-edge efforts in the architecture and design of our video codec hardware. The video Systems group provides video solutions on all of Qualcomm’s Snapdragon mobile processors. The team’s scope includes video processing algorithms and IP architecture design for video compression, visual signal processing and analytics, 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:
Designing and evaluating video algorithms to be implemented in hardware video encoders and decoders .
Define systems architecture for video solutions including data flow, task partition, interface and systems interoperation.
Implement models to accurately model the HW (functional, performance), and supporting HW verification & SW development via behavioral model vectors .
Collaborate with systems, software, hardware teams at various stages of chipset life in design/validation/commercialization.
Research and develop video algorithms for mobile, automotive, compute and VR/AR applications with performance and power efficiency.
Minimum Qualifications:
Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of systems engineering
Master’s degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of systems engineering
Knowledge & Experience in video coding standards such as VVC, AV1, HEVC, H.264/AVC, VP9.
Hands on Knowledge & Experience in Video Codec Design and implementation with in-depth understanding of encoder algorithms and decoder flow
Solid C/C++ programming skill.
Strong communication skills
Good analytical and problem solving skills.
Preferred Qualifications:
HW C modeling experience
Image quality evaluation and metric comparisons
Signal / Image processing basics
Computer Vision and Machine Learning algorithms for Video Compression and Video/Image processing.
Minimum Qualifications:
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