Senior Machine Learning Engineer, GenAI for Media and Gaming

NVIDIA is searching for a world-class engineer in graphics and AI to join our GenAI product team. If you are enthusiastic about applying innovative AI solutions to solve real problems, this position will be an excellent fit for you! We develop novel solutions that leverage generative AI, computer vision, computer graphics, augmented reality technologies, and GPU optimization techniques. Our pioneering technologies advance the visual fidelity, experience, and engagement of products across the gaming, media and entertainment, and professional visualization markets. Working with other teams throughout the company, you will productize promising research, as well as develop new features through your own work.

What you'll be doing:

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

• Take the latest models and research and make them run in real-time on NVIDIA hardware.

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

• Keep up with the latest AI/DL research and collaborate with diverse teams (both internal and external to NVIDIA), including AI/DL researchers, hardware architects, and software engineers.

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

What we need to see:

• Master's in computer science/engineering, Machine Learning, AI, and related fields (or equivalent experience)

• 8+ years of system engineering, optimization, machine learning engineering, or related experience.

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

• Expertise with programming systems such as C++ or, CUDA, and rendering APIs like DirectX or Vulkan.

• A proven track record of delivering complex products and technologies 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. Image recognition and speech recognition — GPU deep learning has provided 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 video games and Hollywood films. Now, NVIDIA's GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for deep learning, and NVIDIA is known as “the AI computing company.”

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

The base salary range is 184,000 USD - 356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.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.