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Senior System Software Engineer - Video

NVIDIA· Engineer, Sys SW
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Bengaluru, India, Hyderabad, India, Pune, Indiafull-timePosted 3mo ago

About the role

Senior Software Engineer role focused on developing a high-performance, low-latency video streaming stack for GeForce NOW, with emphasis on video quality, latency optimization, and adaptive streaming in cloud-based environments.

Responsibilities

  • Design and develop new video streaming functionalities delivering new interactive experiences
  • Innovate, design and develop features to improve image quality, performance, reliability, security and maintainability
  • Analyze GPU/ CPU performance for the video pipeline, isolate bottlenecks and implement solutions in collaboration with GPU hardware and software teams to deliver top performance
  • Develop tools to measure video quality experienced by users, refine to enable evaluation of quality improvements with high confidence
  • Leverage features and toolsets in latest video compression technologies to deliver high quality streaming solutions tailored for different interactive graphics applications
  • Develop quality-evaluation and analysis capabilities that use metrics along with encoder statistics to detect regressions, evaluate new video features, and guide codec and pipeline tuning
  • Apply machine learning and AI models to develop specialized video processing and adaptive streaming algorithms to minimize perceptible artifacts while delivering the lowest latency under different network conditions

Qualifications

  • 5+ years of experience with Bachelor's or Master's degree in Computer Science or a related area
  • Proficiency in C, C++, Python
  • Strong understanding of real-time GPU-accelerated video pipeline performance, including encoder behavior, color spaces, video scaling, transport efficiency, buffering, pacing, bitrate adaptation, frame handling, and latency-sensitive optimizations in distributed or cloud-based systems
  • Familiarity with API frameworks such as Vulkan, CUDA, OpenGL and DX
  • Solid understanding of toolsets in different video codecs like H.264, HEVC, and AV1, including tuning codec configurations to meet application requirements and trade-offs
  • Experience debugging and improving reliability and stability in complex streaming systems, including issues related to degraded network conditions, packet loss recovery, telemetry, tracing, field validation, and long-running session behavior
  • Proficiency in telemetry, statistical data analysis, and performance monitoring to measure and optimize video quality, latency, and system performance in cloud infrastructures
  • Experience in using and integrating AI models into real-time video pipelines
  • Experience with objective video quality assessment using metrics such as VMAF, CAMBI, PSNR, and SSIM/MS-SSIM, and the ability to correlate those metrics with perceptual video quality across different content types and artifacts
  • Strong understanding of different layers of software stack including OS internals, user-mode and kernel-mode drivers, strong system software performance analysis, testing and debugging skills

Skills

Required:CC++PythonGPU-accelerated video pipelineVideo codecs (H.264, HEVC, AV1)Telemetry and performance monitoringAI in video pipelinesObjective video quality metrics

Benefits

  • Equal opportunity employer
  • Diversity, equity, and inclusion commitment
Last updated Oct 2, 2026. Interested? Apply on the company site.

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