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Energy Modeling Engineer Jobs (NOW HIRING)

NVIDIA

Senior Architecture Energy Modeling Engineer

Austin, TX · On-site

$103.60K - $142.20K/yr

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 ...

SOCOTEC

Energy Modeling Project Manager

Manhattan, NY · On-site

... engineering and construction industries, focusing on high-performance buildings and specialty ... As the first step in energy modeling, examine both field conditions and design documents ...

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How much do energy modeling engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for energy modeling engineer in the United States is $98,063.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,000.00 and $113,500.00 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 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 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.
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Energy Modeling Engineer jobs near you
Senior Architecture Energy Modeling Engineer

Senior Architecture Energy Modeling Engineer

NVIDIA

Austin, TX • On-site

$103.60K - $142.20K/yr

Full-time

Posted 22 days ago

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.
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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