Job description

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 gameplay. Just click and play! Visit us at nvidia.com. In addition to gaming, the state-of-the-art low-latency streaming technology has expanded to a new range of applications, including augmented and virtual reality, artificial intelligence, and robotics. We are now looking for a Senior Software Engineer–WebRTC Streaming with strong C++ skills and a deep interest in streaming technologies to join a team of highly skilled and motivated software engineers who help build the next generation of applications with media and data streaming capabilities. Now, are you passionate about driving this technology to its edge? Do you understand various streaming protocols? Can you solve complicated problems and propose innovative solutions? Then, we are keen to hear from you. What you’ll be doing: • 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 What we need to see: • 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 Ways to stand out from the crowd: • 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 With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative engineer who enjoys autonomy and shares our 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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 26, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Requirements

Must-haves

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
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
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until October 26, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

Platform: eightfold
Effort: medium