Description
We are seeking a Power Architect to work on architecting GPU power features and system level power management solutions for NVIDIA products.
As a Power Architect, you will collaborate closely with other Architects, Software Engineers, ASIC Design Engineers, and Product teams to study, devise and implement the power management strategy for NVIDIA's GPU roadmap.
Key responsibilities include researching and developing solutions to address complex energy efficiency problems for various GPU use-cases such as: Deep Learning training, ADAS, Gaming, Video Playback, and Idle.
You will deploy machine learning techniques to develop highly accurate power and performance models of our GPUs and platforms.
To be successful in this role, you should have a strong background in Electrical or Computer Engineering, with knowledge of performance simulators/monitors and Low Power architectures/techniques.
Experience with Python, TensorFlow, Pandas, NumPy, PyTorch, Design Compiler, PTPX, and Power Artist is highly desirable.
You will also be expected to work effectively in a team environment and communicate complex technical ideas clearly.
NVIDIA is widely considered to be one of the technology world's most desirable employers, and we offer a competitive salary and benefits package, including equity.