Senior Architecture Energy Modeling Engineer

Invidia

CA, United States
Base: 168,000 usd - 310,500 usd depending on level...
Machine learning based power models
Energy-efficient gpu design
Python and c++ coding skills
The team is responsible for researching, developing, and deploying methodologies to help NVIDIA's products become more energy efficient and building energy models integrated into architectural simulators and silicon platforms

Job Summary

  • The team is responsible for researching, developing, and deploying methodologies to help NVIDIA's products become more energy efficient and building energy models integrated into architectural simulators and silicon platforms.
  • You will collaborate with architects, ASIC design engineers, low power engineers, performance engineers, software engineers, and physical design teams to study and implement energy modeling techniques for next generation GPUs, CPUs, and Tegra SOCs.
  • The position offers a competitive base salary range, equity, and benefits, with salary determined based on location, experience, and comparable employee pay.

Matching Summary

The team is responsible for researching, developing, and deploying methodologies to help NVIDIA's products become more energy efficient and building energy models integrated into architectural simulators and silicon platforms.

Salary

Base: 168,000 USD - 310,500 USD depending on level; Bonus/Equity: Eligible for equity; Benefits: Eligible for benefits

Skills & Requirements

Must-have

  • Machine Learning based power models
  • Energy-efficient GPU design
  • Python and C++ coding skills
  • Computer architecture knowledge
  • Power and energy estimation methodologies
  • Collaboration with cross-functional teams

Nice-to-have

  • Familiarity with Verilog and ASIC design
  • Statistical modeling background
  • Quantitative decision-making skills
  • Good verbal and written communication

Key Requirements

  • MS or PhD in related fields
  • 6+ years of experience
  • Background in machine learning, AI, or statistical modeling
  • Interest in energy-efficient GPU designs
  • Ability to analyze algorithms and their complexities

Work Rights

Not specified

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