Datacenter GPU Power Architect for AI/HPC Perf/Watt

NVIDIA

California (MO)

On-site

USD 116,000 - 189,750

Full time

14 days+

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Job summary

NVIDIA is seeking a Datacenter GPU Power Architect to join its Applied Power Architecture team. You will contribute to energy-efficient designs and develop power estimation models for NVIDIA’s GPU products. Candidates should possess an MSEE/MSCE or equivalent with at least 2 years of experience in power estimation and optimization. The base salary for this role ranges from 116,000 USD to 189,750 USD for Level 2 or 136,000 USD to 218,500 USD for Level 3, with eligibility for equity and benefits.

Qualifications

  • At least 2 years of experience in power/performance estimation and optimization.
  • Knowledge of energy-efficient chip design fundamentals and tradeoffs.
  • Familiarity with low-power design techniques such as multi-VT and clock gating.

Responsibilities

  • Contribute to power estimation models and tools for GPU products.
  • Perform early GPU and system architecture exploration focusing on energy efficiency.
  • Deploy machine learning techniques for power and performance modeling.

Skills

Power/performance estimation
Energy-efficient chip design
Python programming
Data analysis (Pandas, NumPy, PyTorch)
Low-power design techniques

Education

MSEE/MSCE or equivalent

Tools

Performance monitors and simulators

Job description

NVIDIA is seeking a Datacenter GPU Power Architect to join its Applied Power Architecture team. You will contribute to energy-efficient designs and develop power estimation models for NVIDIA’s GPU products. Candidates should possess an MSEE/MSCE or equivalent with at least 2 years of experience in power estimation and optimization. The base salary for this role ranges from 116,000 USD to 189,750 USD for Level 2 or 136,000 USD to 218,500 USD for Level 3, with eligibility for equity and benefits.
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