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 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, optimizing high-density server performance, improving streaming protocols and networking, redefining telemetry data into business-driving insights, 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 modern C++ software for cloud gaming
Apply data-driven insights for architectural decisions that impact scalability, efficiency, security and streaming quality
Define metrics and KPIs to measure streaming quality and performance at runtime
Collaborate with video encoding, networking, and systems teams to deliver low-latency, high-fidelity game streaming
Participate in code reviews, technical design discussions, and architecture planning.
What we need to see:
Master’s degree or equivalent experience in Computer Science, or related field
4+ years of experience
Passion for games and a deep understanding of what makes interactive experiences performant and responsive.
Proficiency in modern C++ and strong software development, optimization, and debugging skills.
Deep knowledge of multi-threading, low-latency systems, and performance-critical programming in Windows and Linux.
Good understanding of multimedia streaming protocols such as RTP/SRTP, WebRTC.
Strong communication skills and ability to work across multiple teams and subject areas.
Ways to stand out from the crowd:
Fluent in L2, L3 networking stack as well as IP routing, multicast, QoS, and transport layer protocols
Analyze and optimize software performance, including CPU, memory, and I/O usage at both user and kernel levels.
Hands-on experience on GPU computing (CUDA, OpenCL, or similar frameworks) for hardware acceleration and computational efficiency.
Knowledge of telemetry, observability, or monitoring frameworks (e.g., Kibana, Grafana, OpenTelemetry).
Knowledge in computer networking and 802.11 WiFi networks.
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 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.
Top Skills
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.”
