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.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. NVIDIA is committed to encouraging 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.
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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.”
