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
We are looking for a Senior Systems Software engineer to join a team of highly skilled and motivated engineers who bring low-latency media streaming to the leanest of consumer devices. Our goal is to develop highly optimized QoS and routing algorithms for cloud-based streaming to achieve ultra-low latencies and smooth streaming. Now, are you passionate about driving streaming technology to its edge? Can you design state-of-art algorithms and solve complicated networking and routing issues? Are you interested in QoS, computer network emulation, packet scheduling, network KPIs and congestion control? Then, we are keen to hear from you.
What you’ll be doing:
Collaborate with data center network/security architects and vendor partners to build the next generation of streaming technology for cloud-based ultra-low-latency applications.
Research, develop, and innovate network routing and QoS algorithms for secure ultra-low streaming and improve user experience.
Collaborate with our partners to build the next generation of networking gear optimized for low-latency streaming.
Use data analytics to measure user experience and develop features to grow our satisfied user base.
Define, implement, and improve industry-leading KPIs for networking, streaming quality, latency, and stutter.
Generate networking models that simulate various real-life end-user networks.
What we need to see:
PhD or Master’s degree or equivalent experience in Computer Science, EE, or a closely related field.
10+ years of experience in networking and software development.
Fluent in L2, L3 networking stacks as well as IP routing, multicast, QoS, and transport layer protocols.
Hands-on experience with networking protocols and concepts, including BGP, RTP, QUIC, SCTP, TLS, STUN, TURN, and ICE.
Familiarity with congestion control, buffer bloat, active queue management methods, and concurrent traffic handling.
Hands-on experience with programming in C++ and Python, socket programming, multi-threaded systems, and real-time media applications.
Hardworking and self-motivated with excellent analytical and problem-solving skills.
Ways to stand out from the crowd:
Experience with IPv4/IPv6 routing optimizations, BGP, OSPF/IS-IS, and knowledge of related protocols.
Experience in working with global ISPs, internet peering, and network performance monitoring.
Good understanding of multimedia streaming technologies such as WebRTC and WebTransport.
Knowledge of Software-Defined Networking (SDN), Software-Defined WAN (SD-WAN), or network security protocols.
Familiar with wireless communications standards such as 802.11a/b/g/n/ac, LTE, and/or 5G as well as experience in modeling multi-protocol networks using NS3, GNS3, EVE-NG, and/or Mininet.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real 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 224,000 USD - 356,500 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.Skills Required
- PhD or Master's degree or equivalent experience in Computer Science, EE, or closely related field.
- 8+ years of experience in networking and software development.
- Fluent knowledge of L2 and L3 networking stacks, IP routing, multicast, QoS, and transport layer protocols.
- Hands-on experience with networking protocols and concepts including BGP, RTP, QUIC, SCTP, TLS, STUN, TURN, and ICE.
- Familiarity with congestion control, buffer bloat, active queue management methods, and concurrent traffic handling.
- Programming experience in C++ and Python.
- Experience with socket programming, multi-threaded systems, and real-time media applications.
- Strong analytical and problem-solving skills; self-motivated and hardworking.
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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.”
