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Energy Modeling Engineer Jobs in Texas (NOW HIRING)

Energy Engineer III

Plano, TX · On-site +1

$100K - $130K/yr

Perform and oversee whole-building energy modeling using industry-standard software * Lead ... Mentor junior engineers and support training, development, and technical growth across the team

Energy Modeling Manager Requirements Education, Experience and Desired Qualifications: * Bachelor's Degree required * Architectural, Drafting, Engineering, Construction Management, or related field

PARTNER delivers engineering, environmental, energy consulting, and design services across the ... Perform whole-building energy modeling using industry-standard tools * Conduct field inspections ...

Energy Engineer II

Plano, TX · On-site

$80K - $115K/yr

PARTNER delivers engineering, environmental, energy consulting, and design services across the ... Perform whole-building energy modeling using industry-standard tools * Conduct field inspections ...

Energy Modeling Manager Requirements Education, Experience and Desired Qualifications: * Bachelor's Degree required * Architectural, Drafting, Engineering, Construction Management, or related field

Energy Modeling Manager Requirements: Education, Experience and Desired Qualifications: * Bachelor's Degree required * Architectural, Drafting, Engineering, Construction Management, or related field

Energy Modeling Manager Requirements Education, Experience and Desired Qualifications: * Bachelor's Degree required * Architectural, Drafting, Engineering, Construction Management, or related field

Energy Modeling Manager Requirements: Education, Experience and Desired Qualifications: * Bachelor's Degree required * Architectural, Drafting, Engineering, Construction Management, or related field

Energy Modeling Manager Requirements Education, Experience and Desired Qualifications: * Bachelor's Degree required * Architectural, Drafting, Engineering, Construction Management, or related field

At Hertha, engineers, metallurgists, and operators work side by side to transform the future of ... and energy. Experience modeling chemical process systems with two or more miscible liquid phases ...

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Showing results 1-20

Energy Modeling Engineer information

See Texas salary details

$49.8K

$91.4K

$129.5K

How much do energy modeling engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for energy modeling engineer in Texas is $91,361.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,600.00 and $105,700.00 per year, depending on experience, location, and employer.

What does an Energy Modeling Engineer do?

An Energy Modeling Engineer analyzes and simulates the energy performance of buildings, systems, or industrial processes to optimize efficiency and sustainability. They use specialized software to assess heating, cooling, lighting, and other energy-consuming components, ensuring compliance with codes and standards. Their work helps architects, engineers, and policymakers make informed decisions about energy conservation and cost savings.

What are the typical daily responsibilities of an Energy Modeling Engineer?

As an Energy Modeling Engineer, your daily responsibilities often include creating and running energy models for buildings or systems, analyzing simulation results, and preparing technical reports. You may collaborate closely with architects, mechanical engineers, and project managers to provide data-driven recommendations on design alternatives and energy efficiency strategies. Regular tasks also involve quality assurance checks, validating models against real-world data, and updating simulations as project designs evolve. This role requires staying current with industry regulations and sustainability standards, ensuring models comply with the latest guidelines.

What are the key skills and qualifications needed to thrive in the Energy Modeling Engineer position, and why are they important?

To thrive as an Energy Modeling Engineer, you need strong analytical skills, a background in mechanical or electrical engineering, and expertise in building energy simulation. Familiarity with advanced software tools such as EnergyPlus, eQUEST, and knowledge of ASHRAE standards or LEED accreditation is highly valued. Strong problem-solving abilities, attention to detail, and effective communication are key soft skills in this role. These competencies ensure accurate modeling, enable collaboration with multidisciplinary teams, and drive impactful energy efficiency solutions in real-world projects.

What are popular job titles related to Energy Modeling Engineer jobs in Texas? For Energy Modeling Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Energy Modeling Engineer jobs in Texas look for? The top searched job categories for Energy Modeling Engineer jobs in Texas are:
Infographic showing various Energy Modeling Engineer job openings in Texas as of July 2026, with employment types broken down into 80% Full Time, 18% Part Time, 1% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $91,361 per year, or $43.9 per hour.
Senior Architecture Energy Modeling Engineer

Senior Architecture Energy Modeling Engineer

Nvidia

Austin, TX • On-site

$103K - $142K/yr

Full-time

Re-posted 11 days ago


Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 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

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