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.

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.

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.