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Tier-1 brand, mid-level seniority, and metro hiring amplify competition despite niche GPU specialization.
Highly specialized GPU, driver, and codec expertise limits cross-industry transferability.
Many mandatory low-level system, GPU, codec, and experience requirements impose high shortlisting strictness.
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Design and develop new video streaming functionalities to deliver enhanced interactive experiences with high image quality and low latency.
Analyze GPU/CPU performance within video pipelines, identify bottlenecks, and collaborate with hardware/software teams to optimize streaming performance.
Develop and implement tools and AI-based algorithms for video quality measurement, codec tuning, and adaptive streaming under varying network conditions.
5+ years of professional 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 and experience with video codec tools (H.264, HEVC, AV1).
Familiarity with API frameworks such as Vulkan, CUDA, OpenGL, and DirectX; experience with telemetry, statistical data analysis, and performance monitoring in cloud environments.
Demonstrated expertise in GPU-accelerated video streaming systems focusing on performance, latency, and quality optimization.
Experience integrating AI and machine learning models into real-time video pipelines for video processing and adaptive streaming.
Ability to diagnose and improve reliability and stability issues in complex cloud-based streaming systems, including network-related challenges.