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Tier-1 brand and metro mid-level role but niche GPU/video specialization reduces broad applicant competition.
Role requires deep GPU, kernel, and video codec expertise, limiting cross-industry transferability.
Explicit 5+ years plus specialized GPU, codec, and kernel-driver expertise creates high shortlisting strictness.
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Design and develop new video streaming functionalities and features focused on improving image quality, performance, reliability, and security in a real-time GPU-accelerated streaming stack.
Analyze GPU/CPU video pipeline performance, isolate bottlenecks, and collaborate with hardware/software teams to optimize streaming and latency.
Develop and apply tools and AI models for video quality measurement, adaptive streaming, codec tuning, and artifact minimization under varying network conditions.
5+ years of software engineering experience with Bachelor's or Master's in Computer Science or related field.
Proficiency in C, C++, and Python programming languages.
Strong knowledge of real-time GPU-accelerated video pipeline performance and video compression technologies (H.264, HEVC, AV1).
Experience with API frameworks like Vulkan, CUDA, OpenGL, DX, and familiarity with telemetry, debugging complex streaming systems, and system software performance analysis.
Experienced in end-to-end video streaming pipeline optimization including encoder behavior and latency-sensitive distributed/cloud systems.
Skilled at integrating AI/ML models into real-time video processing for quality and latency improvements.
Background in system-level software including OS internals, driver-level debugging, and performance tuning in cloud environments.