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Building Energy Modeling Jobs in California (NOW HIRING)

As Director of Energy, you will provide leadership across a range of building energy consulting services, including life cycle cost analysis; net zero ready consulting; new construction modeling for ...

As Director of Energy, you will provide leadership across a range of building energy consulting services, including life cycle cost analysis; net zero ready consulting; new construction modeling for ...

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Building Energy Modeling information

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$17

$31

$51

How much do building energy modeling jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for building energy modeling in California is $31.93, according to ZipRecruiter salary data. Most workers in this role earn between $25.14 and $36.06 per hour, depending on experience, location, and employer.

What is a building energy modeling?

A Building Energy Modeling (BEM) job involves using specialized software to simulate a building’s energy performance, assessing factors like heating, cooling, lighting, and ventilation. Professionals in this field help optimize energy efficiency, reduce operational costs, and ensure compliance with energy codes and green building standards. They work on new constructions, retrofits, and system upgrades to improve sustainability. Typical tasks include analyzing energy consumption, running simulations, and providing recommendations for energy-efficient design improvements.

What are the typical daily tasks and work environment for a building energy modeling professional?

As a Building Energy Modeling professional, your typical day involves gathering and analyzing building data, constructing simulation models, and running energy performance scenarios. You'll use specialized software to assess factors like HVAC systems, insulation, lighting, and occupancy patterns to recommend efficiency improvements. Most work is done in an office setting, collaborating closely with engineers, architects, and sustainability consultants, though occasional site visits may be required. The role offers opportunities to work on diverse projects, ranging from new construction to retrofits, and often involves presenting findings and recommendations to both technical and non-technical stakeholders.

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

To thrive in Building Energy Modeling, you need a strong background in mechanical engineering, architecture, or a related field, combined with analytical skills and experience in energy simulation. Familiarity with specialized software such as EnergyPlus, eQUEST, IES VE, and relevant certifications like LEED or BEMP is highly valued. Strong attention to detail, problem-solving abilities, and effective communication are important soft skills for this role. These competencies help ensure accurate modeling, effective collaboration with project teams, and compliance with energy codes or sustainability goals.

What are the most commonly searched types of Building Energy Modeling jobs in California?

The most popular types of Building Energy Modeling jobs in California are:

What are popular job titles related to Building Energy Modeling jobs in California?

For Building Energy Modeling jobs in California, the most frequently searched job titles are:

What job categories do people searching Building Energy Modeling jobs in California look for?

The top searched job categories for Building Energy Modeling jobs in California are:

What cities in California are hiring for Building Energy Modeling jobs?

Cities in California with the most Building Energy Modeling job openings:

Infographic showing various Building Energy Modeling job openings in California as of August 2026, with employment types broken down into 4% Internship, 84% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% In-person, 8% Hybrid, and 4% Remote job distribution, with an average salary of $66,404 per year, or $31.9 per hour.

Senior Architecture Energy Modeling Engineer

NVIDIA Gruppe

Santa Clara, CA • On-site

$168 - $264.50/hr

Other

Posted 15 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 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.

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.

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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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