GPU Energy Modeling Architect - ML Power & Efficiency

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 168,000 - 264,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Gruppe is seeking an experienced Sr. Architecture Energy Modeling Engineer to develop methodologies for energy-efficient products. The role involves working with teams to improve GPU power consumption through machine learning models and prototyping architectural features.

Candidates should have an MS or PhD with 6+ years in machine learning, strong coding skills in Python or C++, and a solid understanding of GPU design. The position offers a competitive salary based on experience and eligibility for equity and benefits.

Qualifications

• 6+ years of experience.
• Background in computer architecture and interest in energy‑efficient GPU designs.
• Basic understanding of energy consumption, estimation, and low power design.

Responsibilities

• Develop Machine Learning based power models to analyze and reduce power consumption.
• Collaborate with architects, designers, and engineers to build energy-efficient GPUs.
• Prototype new architectural features and analyze their system impact.

Skills

Strong coding skills, preferably in Python, C++

Background in machine learning, AI, and/or statistical modeling

Good verbal/written communication and interpersonal skills

Ability to formulate and analyze algorithms

Education

MS or equivalent experience in related fields

PhD in related fields

Tools

Familiarity with Verilog

Job description

NVIDIA Gruppe is seeking an experienced Sr. Architecture Energy Modeling Engineer to develop methodologies for energy-efficient products. The role involves working with teams to improve GPU power consumption through machine learning models and prototyping architectural features.

Candidates should have an MS or PhD with 6+ years in machine learning, strong coding skills in Python or C++, and a solid understanding of GPU design. The position offers a competitive salary based on experience and eligibility for equity and benefits.