Senior Energy Modeling Architect for GPU Power & ML

NVIDIA; Austin (TX); On-site; USD 168,000 - 264,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in Austin, Texas is seeking an experienced Sr. Architecture Energy Modeling Engineer to enhance the energy efficiency of its GPU products. Candidates should have a master's degree or PhD and 6+ years of experience in machine learning, coding in Python and C++, and an understanding of computer architecture. The role involves developing energy models and methodologies to optimize power consumption, and the base salary ranges from $168,000 to $310,500 depending on level and experience. Equity and benefits included.

Qualifications

• 6+ years of experience in relevant fields.
• Good verbal/written communication and interpersonal skills.
• Ability to formulate and analyze algorithms.

Responsibilities

• Develop Machine Learning based power models.
• Improve accuracy of trained models.
• Integrate power/energy models into performance platforms.
• Analyze and reduce power consumption of NVIDIA GPUs.

Skills

Strong coding skills in Python

Strong coding skills in C++

Machine Learning

AI and/or statistical modeling

Computer architecture

Energy-efficient GPU designs

Education

MS or equivalent experience in related fields

PhD in related fields

Tools

Verilog

ASIC design principles

Job description

NVIDIA in Austin, Texas is seeking an experienced Sr. Architecture Energy Modeling Engineer to enhance the energy efficiency of its GPU products. Candidates should have a master's degree or PhD and 6+ years of experience in machine learning, coding in Python and C++, and an understanding of computer architecture. The role involves developing energy models and methodologies to optimize power consumption, and the base salary ranges from $168,000 to $310,500 depending on level and experience. Equity and benefits included.