Senior Energy Modeling & Power Analytics Engineer

NVIDIA; Santa Clara (CA); On-site; USD 130,000 - 160,000; Full time

Job summary

NVIDIA is seeking a member of the Architecture Energy Modeling Team in Santa Clara to collaborate on energy modeling for next-gen GPUs and CPUs. This role includes defining tools for data generation, improving power efficiency through data analysis, and experimenting with machine learning techniques. A Master's or PhD with 5+ years of experience is required, along with strong coding skills in Python and C++. Join us to enhance our understanding of energy usage in graphics and AI workloads.

Qualifications

• 5+ years of experience in a relevant field.
• Strong background of VLSI, digital design, and computer architecture concepts.
• Basic understanding of chip design process from RTL design to tape-out.

Responsibilities

• Define and implement tools for data generation for power analytical model.
• Develop tools to sanitize metrics in the model for accuracy.
• Integrate power models with performance tools.
• Mine data to find important data paths and improve power efficiency.

Skills

Strong coding skills, preferably in Python

Strong coding skills, preferably in C++

Ability to formulate and analyze algorithms

Good understanding of power and energy concepts

Strong background in VLSI and computer architecture

Background in machine learning and statistical modeling

Education

MS or PhD in related fields

Job description

NVIDIA is seeking a member of the Architecture Energy Modeling Team in Santa Clara to collaborate on energy modeling for next-gen GPUs and CPUs. This role includes defining tools for data generation, improving power efficiency through data analysis, and experimenting with machine learning techniques. A Master's or PhD with 5+ years of experience is required, along with strong coding skills in Python and C++. Join us to enhance our understanding of energy usage in graphics and AI workloads.