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NVIDIA

Power Architect

NVIDIA

Power Architect designing GPU power management solutions at NVIDIA. Collaborating with engineers to address energy efficiency challenges in various GPU use cases.

Posted 5/11/2026full-timeSanta Clara • California, Texas • 🇺🇸 United StatesMid-LevelSenior💰 $116,000 - $218,500 per yearWebsite

Tech Stack

Tools & technologies
NumpyPandasPythonPyTorchTensorflow

About the role

Key responsibilities & impact
  • You will be working on architecting GPU power features and system level power management solutions for NVIDIA products.
  • 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.
  • Research and develop solutions to address complex energy efficiency problems for various GPU use-cases such as: Deep Learning training, ADAS, Gaming, Video Playback, and Idle.
  • Deploy machine learning techniques to develop highly accurate power and performance models of our GPUs and platforms.

Requirements

What you’ll need
  • Pursuing or recently completed a MS or PhD in Electrical or Computer Engineering (or equivalent experience)
  • Knowledge of performance simulators/monitors and Low Power architectures/techniques a plus.
  • Working knowledge of Python, and frameworks/packages like: TensorFlow, Pandas, NumPy, PyTorch a plus.
  • Exposure to tools/flows such as Design Compiler, PTPX, and Power Artist etc a huge plus.
  • Experience with lab setup and measurement using equipment such as scope/DAQ is helpful.

Benefits

Comp & perks
  • You will also be eligible for equity and benefits

ATS Keywords

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Hard Skills & Tools
GPU power managementenergy efficiencymachine learningperformance modelingPythonTensorFlowPandasNumPyPyTorchlow power architectures
Soft Skills
collaborationproblem-solving
Certifications
MS in Electrical EngineeringPhD in Computer Engineering