System Software Manager - Multimedia

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing more than 25 years. It’s an outstanding legacy of innovation that’s fueled by great technology—and amazing people. NVIDIA has also established itself as one of the most admired and valuable companies in the world given the market leading positions for AI SW and HW. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you will be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world

What you’ll be doing:

• You will lead team of highly skilled and motivated engineers working on digital video technologies.
• Build the processes to achieve high quality software development
• Make the right technical choices and tradeoffs governed by data driven development
• Coordinate with multi-functional software teams contributing to roadmap
• Continuous improvement of quality and performance of the software and raise the bar
• Decide the objective and goals and drive team towards achieving those
• Guide the team for shipping the solutions

What we need to see:

• Bachelor's or Master's degree in Computers, Electrical, Electronics Engineering or related field with 8+ overall years of proven experience with focus on software development for embedded SOCs
• 4+ years of managing a team
• Excellent exposure to digital video sub systems
• Relevant working experience in implementing video compression standards
• Background in developing and implementation of pre and post processing algorithms for digital video pipeline
• Proficient in C and modern C++, Python scripting
• Experience in leading multisite teams
• Thrive in Linux and QNX development platform.

Ways to stand out from the crowd:

• Understanding of state of art H.264/H.265/AV1 standards
• Performance and power optimizations for video playback, record use cases.
• Video algorithms such as rate control, pre processing filters, ML/DL/Cuda based techniques, Frame rate up conversion, HDR playback pipeline
• ASPICE and ISO – 26262 safety standard
• Knowledge of using AI assisted tools for manager functions and some exposure to such tools for development work.