Senior Systems Software Engineer - Wireless

• Master's degree, Ph.D., or equivalent experience in Computer Science, EE, 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-related 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.

Ways To Stand Out From The Crowd:

• 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.

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 expanding rapidly. If you're a creative, autonomous engineer with a genuine 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.

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 practical knowledge of wireless networking to improve streaming performance on wireless networks on the next generation of use cases in automotive, robotics, and physical AI. This role is ideal for someone who understands 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. What You'll Be Doing: * Build, develop, and optimize low-latency C/C++ software to improve real-time streaming over 5G, Wi-Fi, and other bandwidth-limited wireless networks. Use technologies such as WebRTC and modern transport protocols. * Build connectivity solutions that integrate with cellular, Wi-Fi, and platform APIs while diagnosing anomalies using telemetry, packet captures, modem diagnostics, and user data. * Analyze logs, packet captures, modem diagnostics, network telemetry, and user metrics to fix 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, while mentoring engineers and advancing guidelines for wireless connectivity. * Use data analysis and modeling tools to understand real-world network behavior and identify areas for improvement.