About the job
NVIDIA’s development of the GPU in 1999 revolutionized the PC gaming industry, reshaped contemporary computer graphics, and transformed parallel computing. In recent years, GPU deep learning has propelled modern AI, ushering in a new era of computing where GPU systems serve as the core intelligence for computers, robots, and autonomous vehicles, enabling them to perceive and interpret the world around them. NVIDIA Research is at the forefront of developing cutting edge hardware, software, and algorithmic technologies for next generation GPU systems. We are eager to expand our teams with the most brilliant minds globally.
Responsibilities
Conduct cutting edge research on algorithms, hardware, and system software extending the state of the art in deep learning, humanoid robotics, database analystics, general computing, and other technology areas surrounding NVIDIA's business."Invent new techniques, technologies, methodologies, processes, and devices that can enable new products or types of products. Deliverable results include prototypes, patents, leading to products and publications."Develop new methods and processes for research and scientific evaluation of research techniques and artifacts including agentic driven techniques, simulation, modeling, and benchmarking.\
Qualifications
Minimum
Pursuing PhD Degree in relevant discipline(s) (CS, CE, EE, Physics, Math)\
Preferred
Chip/system level arch: agentic techniques for computer architecture; specialized accelerators for deep-learning and humanoid robotics\