Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 7
API @ 4
Android @ 4
Communication @ 3
Data Analysis @ 4
Debugging @ 7
Linux @ 4
Networking @ 7
Robotics @ 7
Software Development @ 7
WebRTC @ 7
iOS @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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.
NVIDIA is looking for a Senior Systems Software Engineer with strong C++ experience and practical knowledge of wireless networking to improve streaming performance on wireless networks for next-generation use cases in automotive, robotics, and physical AI. The role focuses on 5G cellular connectivity, 5G core network concepts, Wi-Fi, modern networking protocols, and real-time streaming systems. Experience with automotive connectivity, connected vehicles, telematics, APIs, QNX, and Linux is also valuable.
Responsibilities
- Build, develop, and optimize low-latency C/C++ software to improve real-time streaming over 5G, Wi-Fi, and other bandwidth-limited wireless networks using technologies such as WebRTC and modern transport protocols.
- Build connectivity solutions integrating cellular, Wi-Fi, and platform APIs.
- Diagnose anomalies using telemetry, packet captures, modem diagnostics, and user data.
- Analyze logs, packet captures, modem diagnostics, network telemetry, and user metrics to resolve latency, system efficiency, handover, packet loss, and recovery issues.
- Develop network quality KPIs, automated test frameworks, and realistic wireless network simulations to validate streaming performance under challenging real-world conditions.
- Partner with cloud networking teams, automotive partners, wireless carriers, and platform engineers to deliver scalable streaming solutions.
- Mentor engineers and advance guidelines for wireless connectivity.
- Use data analysis and modeling tools to understand real-world network behavior and identify areas for improvement.
Requirements
- Master's degree, Ph.D., or equivalent experience in Computer Science, Electrical Engineering, or a closely related field.
- 8+ years of experience in wireless networking and software development.
- Hands-on experience with wireless communication technologies, including 5G, Wi-Fi, or satellite connectivity, with familiarity across modern 5G architectures and deployments.
- Familiarity with 5G core networks and practical 5G deployments across different spectrum, access, and network architectures.
- Strong hands-on experience in C/C++ software development, optimization, and debugging.
- Deep understanding of streaming and connectivity technologies, including RTP, WebRTC, WebSockets, QUIC, SCTP, STUN/TURN, ICE, and NAT traversal.
- Experience debugging connectivity or streaming issues using event logs, captured network data, telemetry, and network diagnostics.
- Strong analytical and problem-solving skills, with the ability to work across software, platform, modem, carrier, and network layers.
Preferred Qualifications
- Experience with WebRTC, QUIC, RTP, adaptive streaming, congestion control, jitter buffering, packet loss recovery, or low-latency media transport.
- Experience with Android, iOS, Linux, QNX, embedded systems, 5G modems, automotive connectivity, telematics, or software-defined vehicles.
- Familiarity with interface bonding, multipath protocols, SD-WAN, VPNs, or network virtualization.
- Familiarity with SDN concepts such as control/data plane separation, traffic steering, policy-based routing, programmable networks, or network automation.
- Experience working with global ISPs, wireless service providers, carriers, or network equipment partners.
Compensation And Benefits
The base salary range is USD 184,000–287,500 for Level 4 and USD 224,000–356,500 for Level 5. Base salary is determined based on location, experience, and the pay of employees in similar positions. The role also includes eligibility for equity and benefits.
NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer. Applications will be accepted at least until July 25, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.