Senior GPU Energy Modeling Architect (ML Power Models)

Thomas To; Santa Clara (CA); On-site; USD 170,000 - 265,000; Full time

Job summary

NVIDIA in Santa Clara, CA is seeking a Senior Architecture Energy Modeling Engineer to join our Power Modeling, Methodology and Analysis Team. You will develop machine learning based power models to analyze and reduce energy use in GPUs, collaborate with architects, ASIC designers, and performance teams, and integrate models into architectural simulators and silicon workflows.

The role emphasizes ML, energy-aware design, and hands-on coding in Python and C++, with opportunities to prototype new

Qualifications

• MS or PhD in Electrical Engineering, Computer Engineering, Computer Science or equivalent experience.
• 5+ years experience.
• Strong coding skills, preferably in Python, C++.
• Background in machine learning, AI, and/or statistical modeling.
• Background in computer architecture and energy-efficient GPU designs.
• Familiarity with Verilog and ASIC design principles is a plus.
• Ability to formulate and analyze algorithms, and comment on runtime and memory complexities.
• Good verbal/written communication and interpersonal skills.

Responsibilities

• Work with architects, designers, and performance engineers to develop an energy-efficient GPU.
• Identify key design features and workloads for building Machine Learning based unit power/energy models.
• Develop and own methodologies and workflows to train models using ML and/or statistical techniques.
• Improve the accuracy of trained models by using different model representations, objective functions, and learning algorithms.
• Develop methodologies to estimate data movement power/energy accurately.
• Correlate the predicted energy from models built at different stages of the design cycle, with the goal of bridging early estimates to silicon.
• Work with performance infrastructure teams to integrate power/energy models into their platforms to enable combined reporting of performance and power for various workloads.
• Develop tools to debug energy inefficiencies observed in various workloads run on silicon, RTL, and architectural simulators. Identify and suggest solutions to fix the energy inefficiencies.
• Prototype new architectural features, build an energy model for those new features, and analyze the system impact.
• Identify, suggest, and/or participate in studies for improving GPU perf/watt.

Skills

Python

C++

Machine learning

Statistical modeling

Verbal communication

Education

MS or PhD in Electrical Engineering, Computer Engineering, Computer Science

Tools

Verilog

Job description

NVIDIA in Santa Clara, CA is seeking a Senior Architecture Energy Modeling Engineer to join our Power Modeling, Methodology and Analysis Team. You will develop machine learning based power models to analyze and reduce energy use in GPUs, collaborate with architects, ASIC designers, and performance teams, and integrate models into architectural simulators and silicon workflows.

The role emphasizes ML, energy-aware design, and hands-on coding in Python and C++, with opportunities to prototype new