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# Senior Systems Software Engineer - QoS

- **Company:** NVIDIA Ltd.
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $152,000.0 - $241,500.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Windows, Cloud Computing, Encodings, Computer Programming, Data Visualization, Software Debugging, Linux, Datagram Transport Layer Security, Embedded Operating Systems, H.264/MPEG-4 AVC, Socket Programming, Software Engineering, Video Codec, Video Encoding, WebRTC, Multithreading, High Efficiency Video Coding (HEVC), Information Technology, Low Latency, Data Analytics, Transport Protocols, Automotive Software, Decoding, Stream Control Transmission Protocol, Data Pipelines
- **Published:** October 20, 2026
- **Apply:** https://www.juju.com/job/23_3EFE868D12C1636387DA6218A2B35579

## About the Role

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

## Description

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