Systems Software Engineer - GeForce NOW Low Latency Streaming Technology

Santa Clara, CA

Full-time

Onsite

$120K/yr - $236K/yr

Entry, Mid Level

NVIDIA is a leading technology company known for its innovations in GPU and AI. They are seeking a Systems Software Engineer to develop and improve ultra-low-latency streaming technology for GeForce NOW, focusing on performance, reliability, and user experience.

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Responsibilities

Develop and improve media streaming stack to deliver ultra-low streaming latency, video quality, and network resilience
Own end-to-end software development cycle for features and modules and meet performance, reliability, scalability, and sustainability requirements
Deliver platform optimized audio/video decode and render pipelines, HID and Xinput device support for WebRTC based and custom streaming clients
Define and build performance metrics and indicators, leverage data to analyze and improve streaming performance and user experience
Participate in software reviews and contribute to the quality of designs and code across the team
Contribute to the evolution of team processes and methodologies

Qualification

Required

BS or MS or equivalent in Computer Science or related subjects (or equivalent experience)
2+ years experience in multithreaded programming and system software design
Proficient in C, C++, Multi-threaded programming, System software design and debugging skills
Experience implementing and improving performance and video quality through different stages of the video processing pipeline
Experience analyzing performance and CPU/GPU resource utilization for video/graphics applications
Background with the usage of different video capture, codec, and render pipelines and APIs
Experience with networking, WebRTC, and other audio and video transport and handshake protocols

Preferred

Passionate about gaming and its immersive experiences.
Familiarity with JavaScript, TypeScript, & web technologies
Experienced in development and debugging for Windows, Mac & Linux environments
Proficient in audio/video driver interfaces across platforms and familiar with telemetry, visualization tools, and data analysis.