About The Position

NVIDIA is seeking a Power Architect to work on GPU power features and system-level power management solutions for NVIDIA products. The role collaborates with Architects, Software Engineers, ASIC Design Engineers, and Product teams to develop and implement power-management strategies for NVIDIA’s GPU roadmap. It also involves researching energy-efficiency solutions for GPU use cases including deep-learning training, ADAS, gaming, video playback, and idle, and using machine-learning techniques to build accurate power and performance models of GPUs and platforms.

Requirements

  • Pursuing or recently completed a Master’s or Ph.D. in Electrical or Computer Engineering, or equivalent experience.
  • Knowledge of performance simulators or monitors and low-power architectures or techniques.
  • Working knowledge of Python and frameworks or packages such as TensorFlow, Pandas, NumPy, and PyTorch.
  • Experience with lab setup and measurement using equipment such as an oscilloscope or DAQ.

Nice To Haves

  • A master’s degree or internship focused on projects in low-power architecture, power modeling, and deep learning.
  • Exposure to tools or flows such as Design Compiler, PTPX, and Power Artist.

Responsibilities

  • Architect GPU power features and system-level power-management solutions for NVIDIA products.
  • Collaborate with Architects, Software Engineers, ASIC Design Engineers, and Product teams to develop and implement power-management strategies for NVIDIA’s GPU roadmap.
  • Research and develop solutions to energy-efficiency problems across GPU use cases, including deep-learning training, ADAS, gaming, video playback, and idle.
  • Use machine-learning techniques to develop accurate power and performance models of GPUs and platforms.

Benefits

  • Equity
  • Benefits (not specified)
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