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.
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.
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
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
At NVIDIA, we’re committed to diversity, equity, and inclusion. We embrace diverse perspectives and are proud to be an equal opportunity employer.
Skills Required
- 5+ years of experience with a Bachelor's or Master's degree in Computer Science or related area
- Proficiency in C, C++, Python
- Strong understanding of real-time GPU-accelerated video pipeline performance, encoder behavior, color spaces, scaling, buffering, pacing, bitrate adaptation, and latency-sensitive optimizations
- Familiarity with API frameworks such as Vulkan, CUDA, OpenGL, and DirectX
- Solid understanding of video codecs and toolsets such as H.264, HEVC, and AV1, and codec tuning
- Experience debugging and improving reliability and stability in complex streaming systems, including degraded networks, packet loss recovery, telemetry, and tracing
- Proficiency in telemetry, statistical data analysis, and performance monitoring for video quality, latency, and system performance in cloud infrastructures
- Experience using and integrating AI models into real-time video pipelines
- Experience with objective video quality assessment metrics such as VMAF, CAMBI, PSNR, SSIM/MS-SSIM and correlating metrics with perceptual quality
- Strong understanding of OS internals, user-mode and kernel-mode drivers, system software performance analysis, testing and debugging
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
