Senior Software Engineer – WebRTC Streaming

NVIDIA is hiring a Senior Software Engineer–WebRTC Streaming to build next-generation applications with media and data streaming capabilities. The role focuses on developing and optimizing low-latency streaming software, implementing WebRTC protocols, defining quality metrics, and integrating streaming systems with platform and automotive components.

Responsibilities:

• Design, develop, optimize, and debug C++ software for ultra low-latency streaming systems
• Implement WebRTC and related real-time protocols and congestion-control algorithms from the ground up, working directly from specifications
• Identify gaps in existing standards and develop solutions through protocol design, reference implementations, and contributions to IETF Internet-Drafts and RFCs
• Define and implement KPIs for networking quality, streaming quality, and user experience
• Integrate streaming software with platform services, connectivity layers, and/or automotive system components

Requirements:

• strong C++ skills and a deep interest in streaming technologies
• Deep working knowledge of WebRTC architecture and internals
• Hands-on experience across the transport, security, and media path — ICE, STUN/TURN, DTLS-SRTP, SCTP data channels, and RTP/RTCP with the feedback loop that drives pacing and bandwidth estimation
• 8+ years of experience developing, optimizing, and debugging C++ software, along with a master's degree in Computer Science or Electrical Engineering, or equivalent experience
• Strong understanding of operating systems, multithreading, memory management, networking, and systems programming
• Ability to debug complex issues across software, OS, media pipelines, platform, and hardware boundaries
• Strong analytical and problem-solving skills, with a self-motivated approach
• Contributions to open-source real-time media projects (libwebrtc, Pion, GStreamer, libvpx/libaom) or to IETF/W3C standards work
• Experience with video codecs and formats such as H.264/AVC, H.265/HEVC, AV1, color spaces, or hardware-accelerated encode/decode
• Background with QNX, QNX Safety, Linux, or embedded operating systems for safety-critical platforms
• Experience with automotive software, telematics, connected vehicle platforms, or car connectivity