Staff Video Codec Systems Engineer

Job Description

Responsibilities:

Part of video IP systems team and will be responsible for video technology roadmap ; interaction with different teams including design, verification, system, firmware, software, SOC and power teams; video algorithms, image quality analysis; video processing and compression trends with standardization committees.

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:

• Master’s degree in Electrical/Electronics Engineering, Computer Science, or related field and 15+ years of systems engineering experience
• PhD in Electrical/Electronics Engineering, Communications - Signal Processing, Computer Science, or related field and 12+ years of systems engineering experience
• 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 codec algorithms and flow
• Solid C/C++ programming, Python scripting skills.
• Strong communication skills
• Good analytical and problem solving skills.

Preferred Qualifications:

• HW C modeling experience
• Image quality evaluation and metric comparisons
• Signal / Image processing basicsComputer Vision and Machine Learning algorithms for Video Compression and Video/Image processing.