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Tier-1 employer and metro location increase applicant density despite niche systems specialization.
Highly specialized GPU, codec, and kernel-level expertise limits cross-industry transferability.
Explicit 5+ years plus mandatory low-level GPU, codec, and OS internals skills create strict filters.
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Design and develop advanced video streaming functionalities to enhance interactive experiences with high performance and low latency.
Collaborate with GPU hardware and software teams to analyze and optimize video pipeline performance, addressing bottlenecks in encoder behavior and latency-sensitive operations.
Develop tools for video quality measurement and analysis, applying machine learning models for adaptive streaming and artifact minimization under varying network conditions.
5+ years experience with Bachelor’s or Master’s degree in Computer Science or related field.
Proficiency in C, C++, and Python programming languages.
Strong understanding of real-time GPU-accelerated video pipelines, video codecs (H.264, HEVC, AV1), and API frameworks such as Vulkan, CUDA, OpenGL, and DirectX.
Experience with telemetry, statistical data analysis, video quality metrics (VMAF, CAMBI, PSNR, SSIM), and integrating AI models into real-time video processing pipelines.
Experienced in performance analysis and optimization of complex cloud or distributed streaming systems with a focus on GPU acceleration and system software.
Skilled in developing and tuning video codec configurations and adaptive streaming algorithms for diverse interactive graphics applications.
Familiar with system software layers including OS internals, drivers, and debugging to enhance reliability and stability in high-demand video streaming environments.