Nvidia Engineering Manager GenAI Media Gaming 

United States, California 

585221499

US, CA, Santa Clara

innovative AI solutions to solve real problems, this position will be angenerative AI, computer vision, computer graphics, and GPUoptimization techniques. Our pioneering technologies advance thevisual fidelity, experience, and engagement of products across thegaming, media and entertainment, and professional visualizationmarkets. Working with other teams throughout the company, you willproductize promising research, as well as develop new featuresthrough your own work.

What you'll be doing:

• Plan, schedule, mentor, and lead the execution of projects andactivities of the team.

• Mentor, grow and develop a world-class team of DL engineers

• Collaborate with internal customers to align priorities across businessunits

• Use AI for solving product problems in gaming, entertainment, andother interactive experiences.

• Create prototypes to demonstrate real-life applications of your ideasand to accelerate productization.

• Participate in technology transfers to and from teams across NVIDIA.

What we need to see:

• Masters in computer science/engineering, Machine Learning, AI, andrelated fields (or equivalent experience)

• 12+ overall years of system engineering, machine learning engineering, orrelated experience.

• 5+ years of experience of leading multiple software engineeringprojects.

• Excellent verbal, written and presentation communications skills,organizational capabilities, and collaborative and interpersonal skills

• Knowledge of application areas such as conversational AI, LLMs, real-time computer graphics, and game development.

• A proven track record of delivering complex products andtechnologies spanning multiple teams and functional areas.

• Intelligent machines powered by AI computers that can learn, reason,and interact with people are no longer science fiction. Imagerecognition and speech recognition — GPU deep learning hasprovided the foundation for machines to learn, perceive, reason, and solve problems.

The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of videoalgorithms, simulating human intelligence, and acts as the brain ofcomputers, robots and self-driving cars that can perceive andlinked, computer graphics and artificial intelligence come together inour architecture. Two modes of the human brain, two modes of the

employers. We have some of the most forward-thinking and
growing. If you're a creative and autonomous engineer with a real