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Tier-1 employer, mid-level metro role with broad visibility increases candidate competition.
Highly specialized GPU, codec, and system-driver expertise limits cross-industry transferability.
Explicit 5+ years plus mandatory low-level GPU, codec, and systems expertise enforces high shortlisting strictness.
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Design and develop advanced video streaming functionalities to enhance interactive user experiences with low latency and high video quality.
Analyze and optimize GPU/CPU performance in the video pipeline, collaborating with hardware and software teams to eliminate bottlenecks.
Develop and apply video quality measurement tools, codec tuning, and AI-driven video processing algorithms to improve streaming reliability and adaptiveness under varied network conditions.
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, video codecs (H.264, HEVC, AV1), video quality metrics (VMAF, CAMBI, PSNR, SSIM), and API frameworks such as Vulkan, CUDA, OpenGL, and DirectX.
Experience debugging and improving streaming systems under degraded network conditions, including telemetry, statistical analysis, and performance monitoring in cloud environments.
Experienced in optimizing video pipelines for various GPU architectures, including Intel Integrated and AMD GPUs.
Skilled in integrating AI and machine learning models into real-time video streaming for adaptive quality and latency improvements.
Demonstrated ability in deep technical collaboration across hardware and software teams for system-level performance enhancements.