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$23.5K

$71.8K

$136.6K

How much do energy modeling jobs pay per year?

As of Aug 8, 2026, the average yearly pay for energy modeling in California is $71,768.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,106.00 and $93,026.00 per year, depending on experience, location, and employer.

What is an energy modeling?

An Energy Modeling job involves using software and analytical techniques to simulate the energy performance of buildings, systems, or industrial processes. Energy modelers assess energy consumption, efficiency measures, and cost-saving opportunities to optimize performance and sustainability. They work with architects, engineers, and policymakers to support energy-efficient design and compliance with regulatory standards.

What does an energy modeling do?

As an Energy Modeler, your daily tasks often include developing and calibrating building energy models, interpreting architectural and mechanical drawings, and preparing simulation reports to guide design decisions. You will frequently collaborate with architects, engineers, and sustainability consultants to evaluate various energy-saving strategies and ensure compliance with relevant codes and certifications. Effective communication and teamwork are essential, as you’ll present findings, answer technical questions, and sometimes participate in client meetings. This cross-disciplinary environment offers plenty of opportunities to learn from other professionals and contribute to sustainable building solutions.

What are the key skills and qualifications needed to thrive in energy modeling, and why are they important?

To thrive in Energy Modeling, you need a strong understanding of building physics, HVAC systems, and energy codes, typically supported by a degree in engineering or a related field. Familiarity with industry-standard software such as EnergyPlus, eQUEST, or IES VE, as well as credentials like LEED accreditation, is highly valued. Attention to detail, analytical thinking, and strong communication skills are important soft skills for this role. These abilities ensure accurate modeling results and effective collaboration with multidisciplinary teams to optimize energy efficiency in building projects.

What are the most commonly searched types of Energy Modeling jobs in California? The most popular types of Energy Modeling jobs in California are:
What are popular job titles related to Energy Modeling jobs in California? For Energy Modeling jobs in California, the most frequently searched job titles are:
What job categories do people searching Energy Modeling jobs in California look for? The top searched job categories for Energy Modeling jobs in California are:
What cities in California are hiring for Energy Modeling jobs? Cities in California with the most Energy Modeling job openings:
Energy Modeling jobs near you
Infographic showing various Energy Modeling job openings in California as of August 2026, with employment types broken down into 71% Full Time, 26% Part Time, 2% Temporary, and 1% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $71,768 per year, or $34.5 per hour.

Senior Architecture Energy Modeling Engineer

Nvidia Corporation

Santa Clara, CA • On-site

$122K - $168K/yr

Full-time

Re-posted 3 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

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.
As a member of the Power Modeling, Methodology and Analysis Team, you will collaborate with Architects, ASIC Design Engineers, Low Power Engineers, Performance Engineers, Software Engineers, and Physical Design teams to study and implement energy modeling techniques for NVIDIA's next generation GPUs, CPUs and Tegra SOCs. Your contributions will help us gain early insight into energy consumption of graphics and artificial intelligence workloads, and will allow us to influence architectural, design, and power management improvements.
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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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