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Tier-1 brand, mid-level generalist senior engineer title, and metro location increase candidate competition.
Highly specialized GPU, codec, kernel and streaming expertise reduces cross-industry transferability.
Explicit 5+ years plus mandatory low-level GPU, codec, driver, and performance expertise creates strict filters.
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Design and develop new video streaming functionalities focused on interactive experiences, image quality, and low latency performance.
Analyze and optimize GPU/CPU performance in video pipelines, collaborating with hardware and software teams to achieve top streaming quality.
Develop tools and algorithms, including AI-enhanced video processing and quality evaluation metrics, to maintain and improve streaming reliability and perceptual video quality.
5+ years of experience with a Bachelor's or Master's degree in Computer Science or related field.
Proficiency in C, C++, and Python programming languages.
Strong understanding and experience with real-time GPU-accelerated video pipelines including encoder behavior, video codecs (H.264, HEVC, AV1), API frameworks (Vulkan, CUDA, OpenGL, DX), and streaming systems reliability.
Experience with telemetry, statistical analysis, performance monitoring, and integrating AI models in real-time video pipelines.
Experienced in developing and optimizing high-performance video streaming systems in cloud or distributed environments.
Strong systems software skills including OS internals, kernel and user-mode drivers, performance analysis, debugging, and testing.
Skilled in using objective video quality metrics correlated with human perception and integrating advanced AI/ML-based video processing techniques.