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Energy Modeling Jobs in California (NOW HIRING)

Pattern Energy Group LP

Energy Systems Modeler

San Francisco, CA · On-site

$86K - $108K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Integrate large datasets into the modeling framework. Gather and validate input data for models, including energy demand, resource availability, market trends, and environmental constraints. Find ...

Pattern Energy Group LP

Energy Systems Modeler

San Francisco, CA · On-site

$86K - $108K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Integrate large datasets into the modeling framework. Gather and validate input data for models, including energy demand, resource availability, market trends, and environmental constraints. Find ...

Pattern Energy Group LP

Energy Systems Modeler

San Francisco, CA · On-site

$86K - $108K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Integrate large datasets into the modeling framework. Gather and validate input data for models, including energy demand, resource availability, market trends, and environmental constraints. Find ...

Partner Engineering and Science

Energy Engineer II

Torrance, CA · On-site

$80K - $105K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Perform whole-building energy modeling using industry-standard tools * Conduct field inspections, building system evaluations, and functional performance testing * Analyze HVAC, lighting, controls ...

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Showing results 1-20

All JobsEnergy Modeling JobsEnergy Modeling Jobs in California

Energy Modeling information

See California salary details

$23.5K

$71.8K

$136.6K

How much do energy modeling jobs pay per year?

As of Aug 19, 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 96% Full Time, and 4% Part Time. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $71,768 per year, or $34.5 per hour.

Senior Architecture Energy Modeling Engineer

NVIDIA

Santa Clara, CA • On-site

$122K - $168K/yr

Full-time

Re-posted 18 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies

Job description

Job Summary:
NVIDIA is a leader in energy-efficient products, and they are seeking a Senior Architecture Energy Modeling Engineer to enhance the energy efficiency of their products. The role involves researching, developing, and deploying methodologies for energy modeling and collaborating with various engineering teams to implement energy-efficient designs.
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.
Qualifications:
Required:
• 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.
• 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.
Preferred:
• Familiarity with Verilog and ASIC design principles is a plus.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

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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