GeForce NOW is NVIDIA's cloud gaming platform, delivering ultra-low-latency, high-performance gameplay from the cloud to PCs, Macs, mobile devices, and beyond. The same streaming technologies powering GeForce NOW are advancing the future of AR/VR, AI inference, and connected mobility.
We're looking for a Senior Systems Software Engineer with strong C++ experience and familiarity with streaming technologies. You will help to improve the quality of experiences for GeForce Now and the next generation of use cases including automotive, robotics and physical AI. Our goal is to develop highly optimized software and algorithms, build high-performance, low-latency systems that deliver a flawless streaming experience to any applications around the world.
What you'll be doing:- Design, develop and test high-performance C++ software for ultra low-latency streaming
- Build and improve media streaming pipelines using technologies such as WebRTC, GStreamer, RTP/RTCP, and related protocols.
- Analyze performance metrics across server, network and media pipeline and optimize GPU and CPU utilization to reduce latency.
- Define and implement KPIs for streaming quality, and user experience.
- Collaborate with video encoding, cloud networking, and systems teams to deliver low-latency, high-fidelity streaming experience
What we need to see:- Master degree in Computer Science or Electrical Engineering (or equivalent experience)
- 5+ years of proven experience in C++ software development, optimization, test and debugging skills.
- Deep knowledge of operating systems, multi-threading, socket programming, and performance-critical programming in Windows and Linux.
- Good understanding of some of low-latency transport protocols (e.g., WebRTC, QUIC)
- Strong analytical and problem-solving skills, with a self-motivated approach.
Ways to stand out from the crowd:- In-depth knowledge of WebRTC architecture, peer connection lifecycle, ICE handshake, and real-time protocols (SRTP, DTLS-SRTP, SCTP).
- Knowledge of video codecs including H.264, H.265, AV1, color spaces, or hardware-accelerated encode/decode.
- Experience with automotive software, telematics, connected vehicle platforms, infotainment, or car connectivity.
- Experience with QNX, QNX Safety, Linux, or embedded operating systems for safety-critical platforms is a strong plus.
- Proficiency in using analytics and visualization tools for data-driven software development
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 26, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
