Senior Software Engineer

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 for GeForce NOW, a cloud-based gaming service powered by NVIDIA GPUs.

Job 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

Requirements:

• 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

Nice to Have:

• 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