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About the role
- Architecting GPU power features and system level power management solutions for NVIDIA products. Collaborating with teams to devise and implement energy efficiency strategies for GPUs.
Responsibilities
- 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
- Study, devise and implement power management strategy for NVIDIA's GPU roadmap
- Research and develop solutions to address complex energy efficiency problems
- Deploy machine learning techniques to develop highly accurate power and performance models of our GPUs and platforms
Requirements
- Pursuing or recently completed a BS, 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
- equity
- benefits
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