Senior Architecture Energy Modeling Engineer

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

We are now looking for an Sr. Architecture Energy Modeling Engineer! At NVIDIA, we pride ourselves in having energy‑efficient products. We believe that continuing to maintain our products' energy efficiency compared to the competition is key to our continued success. Our team is responsible for researching, developing, and deploying methodologies to help NVIDIA's products become more energy efficient; and is responsible for building energy models that integrate into architectural simulators, RTL simulation, emulation and silicon platforms. Key responsibilities include developing Machine Learning based power models to analyze and reduce power consumption of NVIDIA GPUs.

What You’ll Be Doing

• 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.

What We Need To See

• MS (or equivalent experience) with proven experience or PhD in related fields.
• 6+ years of experience.
• Strong coding skills, preferably in Python, C++.
• Background in machine learning, AI, and/or statistical modeling.
• Background in computer architecture and interest in energy‑efficient GPU designs.
• Familiarity with Verilog and ASIC design principles is a plus.
• Ability to formulate and analyze algorithms, and comment on their runtime and memory complexities.
• Basic understanding of fundamental concepts of energy consumption, estimation, and low power design.
• Desire to bring quantitative decision‑making and analytics to improve the energy efficiency of our products.
• Good verbal/written communication and interpersonal skills.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD – 264,500 USD for Level 4, and 196,000 USD – 310,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 14, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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