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Power Architect
NVIDIAPower 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 & technologiesNumpyPandasPythonPyTorchTensorflow
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