Senior Power Methodology And Modeling Engineer

Invidia

Multiple Locations
Base: 136,000 usd - 218,500 usd for level 3; base:...
Energy modeling for gpus and cpus
Power analytical model development
Data generation from post layout netlists
As a member of the Architecture Energy Modeling Team, you will collaborate with multiple engineering disciplines to study and implement energy modeling techniques for NVIDIA's next generation products

Job Summary

  • As a member of the Architecture Energy Modeling Team, you will collaborate with multiple engineering disciplines to study and implement energy modeling techniques for NVIDIA's next generation products.
  • You will define and implement tools and methodologies to improve power efficiency, analyze data paths and bottlenecks, and experiment with ML techniques to set power/energy targets.
  • NVIDIA offers a diverse and encouraging environment with competitive salary, equity, and benefits, committed to fostering diversity and equal opportunity.

Matching Summary

As a member of the Architecture Energy Modeling Team, you will collaborate with multiple engineering disciplines to study and implement energy modeling techniques for NVIDIA's next generation products.

Salary

Base: 136,000 USD - 218,500 USD for Level 3; Base: 168,000 USD - 264,500 USD for Level 4; Bonus/Equity: Eligible; Benefits: Eligible

Skills & Requirements

Must-have

  • Energy modeling for GPUs and CPUs
  • Power analytical model development
  • Data generation from post layout netlists
  • Integration of power models with performance tools
  • Strong coding skills in Python and C++
  • VLSI and digital design expertise
  • Power and energy consumption estimation

Nice-to-have

  • Machine learning and AI techniques
  • Statistical modeling background
  • Quantitative decision-making skills
  • Experience with data visualization platforms
  • Collaborative cross-functional teamwork
  • Autonomous and creative problem solving

Key Requirements

  • MS or equivalent experience or PhD in related fields
  • 5+ years of relevant experience
  • Strong coding skills preferably in Python and C++
  • Background in VLSI, digital design, and computer architecture
  • Understanding of power and low power design concepts
  • Basic chip design process knowledge
  • Not specified

Work Rights

Not specified

Tailored Resume

Cover Letter