Systems Software Engineer - GeForce NOW Video Streaming Technology

Posted An Hour Ago
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Santa Clara, CA
3-5 Years Experience
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The Systems Software Engineer will enhance the media streaming stack for NVIDIA's GeForce NOW, focusing on ultra-low latency and high video quality. Responsibilities include end-to-end software development, performance analysis, and contributing to software reviews. The role requires proficiency in C and C++, as well as experience in multi-threaded programming.
Summary Generated by Built In

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 smoothest of gameplay. Just click and play! Visit us at https://www.nvidia.com/en-us/geforce-now

We are looking for a Systems Software engineer to join a team of highly skilled and motivated engineers who build the ultra low latency Streaming technology for GeForce Now. We optimize for ultra low latencies and smoothest streaming for every device type making the right trade-offs across portability, performance, QoS and latency in our designs. Now, are you passionate about driving streaming technology to its edge? If you are a self-starter who can challenge the state of art and build innovative solutions and has the persistence to see ideas through, then we are keen to hear from you.

What you will be doing:

  • 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

  • Develop tools for video perf and quality analysis, verification and tuning

  • 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 quality of designs and code across the team

  • Contribute to the evolution of team processes and methodologies

What we need to see:

  • BS or MS (or equivalent experience) in Computer Science or related subjects

  • 4+ years experience in multi-threaded programming, System software design

  • Proficient in C, C++, and debugging skills

  • Background with implementing and improving perf and video quality through different stages of video processing pipeline

  • Experience analyzing performance and CPU/ GPU resource utilization for video/ graphics applications

  • Experience with usage of different video capture, codec and render pipelines and API

Ways to stand out from the crowd:

  • You love gaming!

  • Background in low latency video streaming services and products

  • Experience writing and / or using Audio/ video driver interfaces across platforms

  • Familiar with telemetry and visualization tools, data analysis

The base salary range is 120,000 USD - 230,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.

Top Skills

C
C++
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

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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