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 of gameplay. Just click and play! Visit us at https://www.nvidia.com/en-us/geforce-now In addition to gaming, we are expanding our state-of-the-art low-latency streaming technology to a new range of applications, including augmented and virtual reality, artificial intelligence, and robotics.
We are looking for a Senior Systems Software Engineer focusing on streaming protocols to join a team of highly skilled and motivated 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 craft and implement solutions for complicated networking topologies? Then, we are keen to hear from you.
What you’ll be doing:
Develop innovative networking and software algorithms for secure, ultra-low-latency cloud-based streaming technology
Collaborate on signaling, ICE handshake, TURN/STUN server integration, and NAT traversal logic.
Implement, configure, and debug TLS/SSL security protocols.
Utilize DCSCTP and related libraries to enhance the performance and reliability of SCTP.
Analyze user and system-level metrics using sophisticated data analytics tools
What we need to see:
Master's degree in Computer Science or Electrical Engineering (or equivalent experience)
8+ years of proven experience in C++ software development, optimization, and debugging.
Hands-on experience with streaming protocols such as RTP, WebRTC, Web Sockets, and QUIC.
In-depth knowledge of WebRTC architecture, peer connection lifecycle, ICE handshake, and real-time protocols (SRTP, DTLS-SRTP, SCTP).
Familiarity with DC-SCTP internals, congestion control, stream management, and integration within WebRTC stacks.
Ways to stand out from the crowd:
Practical experience with native WebRTC codebases (C++, Chromium, or libwebrtc) and media/data transport layers.
Proficiency in TLS/SSL protocols, digital certificates, and key exchange.
Practical knowledge of NAT traversal techniques, including ICE handshake, STUN, and TURN.
Hands-on experience with WebRTC data channels and the DC-SCTP implementation (SCTP over DTLS).
Proficient with Wireshark, tcpdump, and other tools for analyzing transport layer traffic and debugging protocol issues.
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.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
