Video Codec Architecture and Modeling Specialist

Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Systems Engineering

General Summary:

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, catering to unique requirements of XR/IoT/Automotive markets, 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 video algorithms for mobile, IoT surveillance, Automotive and VR/AR applications with performance and power efficiency

• 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.

Minimum Qualifications

• Master's degree in Electrical or Computer Engineering or related field

• Knowledge & Experience in video coding standards such as VVC, AV1, HEVC, H.264/AVC, VP9.

• Good working experience with C/C++

• Hands on Knowledge & Experience in Video Codec Design and implementation with in-depth understanding of encoder algorithms such as motion estimation, mode decision and rate control.

• Experienced in visual quality trade-offs and assessments for video use-cases

• Experience with Video Pre & Post Processing Algorithms such as denoising, scaling is a plus

• Experience with Computer Vision and Deep Learning techniques as applied to Video is a plus

Minimum Qualifications:

•    Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

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