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# Systems Software Engineer - QoS

- **Company:** NVIDIA Corporation
- **Location:** Santa Clara, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $152,000.0 - $241,500.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Windows, Artificial Intelligence, C++ (Programming Language), Cloud Computing, Computer Programming, Software Debugging, Linux, Socket Programming, Software Engineering, Data Streaming, Video Encoding, WebRTC, Multithreading, Information Technology, Low Latency, Transport Protocols, Video Streaming, Data Pipelines
- **Published:** October 12, 2026
- **Apply:** https://www.juju.com/job/1_ScrapingHub33470-JR2021815

## About the Role

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.