Senior System Software Engineer

NVIDIA's GeForce NOW, the next-generation gaming service powered by NVIDIA GPUs in the cloud, transforms a Mac, PC, or mobile device into a high-performance gaming machine. GeForce NOW keeps games up-to-date automatically, enabling users worldwide to instantly stream the latest games in high-definition resolution with minimal latency and the smoothest gameplay. Just click and play! Visit us at https://www.nvidia.com/en-us/geforce-now. We are now extending this industry defining technology to a new range of applications including virtual and augmented reality, artificial intelligence and remote controlled robotics.

We are seeking a Senior Software Engineer to join a team of skilled and motivated engineers who develop a high performance, low latency streaming stack that delivers unprecedented video quality at lowest latency that makes gaming from the cloud the preferred gaming platform for millions.

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## What you will be doing:

• 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.

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## What we need to see:

• 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

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## Ways to stand out from the crowd:

• Experience in optimizing video pipelines on multiple GPU families such as Intel integrated and AMD GPUs

• Experience writing or analyzing graphics rendering applications or advanced AI based graphics generation such as DLSS, RTX, FSR

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