GeForce NOW is NVIDIA's cloud gaming platform, delivering ultra-low-latency, high-performance gameplay from the cloud to PCs, Macs, mobile devices, and beyond. The same streaming technologies powering GeForce NOW are advancing the future of AR/VR, AI inference, and connected mobility.
We're looking for a Senior Systems Software Engineer with strong C++ experience and familiarity with streaming technologies. You will help to improve the quality of experiences for GeForce Now and the next generation of use cases including automotive, robotics and physical AI. Our goal is to develop highly optimized software and algorithms, build high-performance, low-latency systems that deliver a flawless streaming experience to any applications around the world.
What you’ll be doing:
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
What we need to see:
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
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: Quality of Service (QoS). 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 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.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 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.Skills Required
- Master degree in Computer Science or Electrical Engineering (or equivalent experience)
- 5+ years of proven experience in C++ software development, optimization, test and debugging
- Deep knowledge of operating systems, multi-threading, socket programming, and performance-critical programming in Windows and Linux
- Good understanding of low-latency transport protocols (e.g., WebRTC, QUIC)
- Strong analytical and problem-solving skills, self-motivated
- Familiarity with streaming technologies and media pipelines (WebRTC, GStreamer, RTP/RTCP)
- In-depth knowledge of WebRTC architecture, ICE handshake, and real-time protocols (SRTP, DTLS-SRTP, SCTP)
- Knowledge of video codecs (H.264, H.265, AV1), color spaces, or hardware-accelerated encode/decode
- Experience with automotive software, telematics, connected vehicle platforms, or infotainment
- Experience with QNX, QNX Safety, Linux, or embedded OS for safety-critical platforms
- Proficiency in analytics and visualization tools for data-driven development
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.”
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