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video-codecs jobs in San Diego

Posted 23 days ago

Research Scientist Graduate role focused on designing and developing novel video codec algorithms for image and video compression across multiple formats (2D, multiview, 360-degree, point cloud, light field). Responsibilities include algorithm optimization, file format and transport protocol development, quality evaluation metrics, participation in standardization forums (MPEG, DASH, 3GPP, JVET, AVS), and publication of research papers and patent applications.… Requires a PhD in computer science or related field, strong fundamentals in algorithms and data structures, published research in top venues, and hands-on experience with C/C++ and multimedia compression standards.

San DiegoLast seen 21 days ago
$122,574 – $300,960 · Posted 1 month ago

Design and optimize video analysis and quality assessment algorithms for next-generation video codec hardware accelerators (FPGA/ASIC). Implement C-models and firmware for advanced video encoding, collaborating across algorithm, architecture, software, and hardware teams.… Apply machine learning techniques including deep learning frameworks and transformer architectures for ROI detection, content understanding, and feature extraction. Integrate algorithms into production VOD/live streaming workflows and validate impact through A/B testing and objective quality metrics (VMAF, PSNR, SSIM).

San DiegoLast seen 1 month ago
Posted 1 month ago

Design and optimize video analysis, quality assessment, and encoding algorithms for hardware-accelerated video codec solutions (FPGA/ASIC). Develop C-models and firmware for real-time video processing, implementing algorithms for ROI detection, content understanding, frame-level rate control, and objective quality metrics.… Collaborate with infrastructure and platform teams to integrate algorithms into production VOD and live-streaming workflows, validate performance through A/B testing, and optimize end-to-end video quality. The role requires strong programming skills in C/C++ or Python, knowledge of video quality standards (VMAF, PSNR, SSIM), and ideally experience with deep learning frameworks, video codecs, or embedded real-time systems.

San DiegoLast seen 1 day ago