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Tier-1 brand and metro locations increase applicants, while niche GPU/video specialization limits the pool.
Role requires specialized GPU, codec, OS/driver and low-latency streaming expertise, limiting cross-industry transferability.
Explicit 5+ years plus mandatory C/C++, CUDA/Vulkan, codecs, driver and ML integration requirements enforce strict filters.
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Design and develop advanced video streaming functionalities to enhance interactive experiences with high image quality and low latency.
Analyze and optimize GPU/CPU video pipeline performance, collaborating with hardware and software teams to remove bottlenecks and maximize streaming efficiency.
Develop tools and systems for video quality measurement, codec tuning, and applying AI models to improve video processing and adaptive streaming algorithms.
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 knowledge of real-time GPU-accelerated video pipelines, including encoder behavior, video codecs (H.264, HEVC, AV1), and API frameworks like Vulkan, CUDA, OpenGL, and DirectX.
Experience with telemetry, statistical data analysis, performance monitoring, and integrating AI models into real-time video pipelines.
Experienced in debugging, reliability improvement, and performance optimization of complex cloud-based video streaming systems under network constraints.
Skilled in objective video quality assessment metrics (VMAF, CAMBI, PSNR, SSIM/MS-SSIM) and correlating them with perceptual quality across varied content types.
Comfortable working on low-level system software including OS internals, drivers, and system performance analysis, with cross-disciplinary collaboration with GPU hardware teams.