NVIDIA's GeForce Now, the next-generation gaming service powered by Nvidia GPUs in the cloud, transforms a Mac, any PC or just a mobile device into a high-performance gaming rig. GeForce NOW automatically keeps games up-to-date and users around the globe can instantly stream the latest games in high-definition resolution at the lowest latency for the smoothest of gameplay. Just click and play! Visit us at https://www.nvidia.com/en-us/geforce-now

We are looking for a Senior Systems Software engineer to join a team of highly skilled and motivated engineers who bring GeForce Now to the leanest of consumer devices. Our goal is to develop highly optimized software and algorithms for cloud based streaming to achieve ultra low latencies and smooth streaming. Now, are you passionate about driving streaming technology to its edge and help redefine telemetry data into business-driving insights, developing advanced analytical models, and collaborating multi-functionally with engineering, product, and business teams. Do you have experience in measuring a system’s performance and KPIs? Then, we are keen to hear from you.

What You’ll Be Doing

Design, develop and test high-performance C++ software for cloud gaming servers
Contribute to architectural decisions that impact scalability, efficiency, and streaming quality
Apply machine learning and statistical analysis to classify issues, detect regressions, and identify root causes and actionable insights.
Drive improvements to service reliability, efficiency, and user experience using data-driven insights.
Identify and implement opportunities for continuous process and system improvement within the analytics function.
Collaborate with video encoding, networking, and systems teams to deliver low-latency, high-fidelity game streaming
Help the team to design, develop, and deploy machine learning and AI models at scale to tackle real-world business challenges.

What We Need To See

Master’s degree or equivalent experience in Computer Science, Data science or closely related field.
8+ years of hands-on experience in software development, data analysis, and machine learning.
Proficiency in modern C++ (C++14/17/20) and Python, strong software development, optimization, and debugging skills.
Good understanding of some of low-latency streaming protocols such as WebRTC
Deep knowledge of multi-threading, low-latency systems, and performance-critical programming in Windows and Linux.
Hands-on experience in AI/ML and data analysis, preferably with exposure to large-scale datasets.
Strong communication skills and ability to work across multiple teams and disciplines.

Ways To Stand Out From The Crowd

Hands-on experience with machine learning frameworks (e.g.,TensorFlow, PyTorch) and ML model lifecycle from development to deployment.
Knowledge of telemetry, observability, or monitoring frameworks (e.g., Kibana, Grafana, OpenTelemetry).
Knowledge in computer networking or WiFi networks.
Passion for games and a deep understanding of what makes interactive experiences performant and responsive.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits .

Applications for this job will be accepted at least until August 8, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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