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Remote Modeling Simulation Engineer Jobs in Tennessee

$18 - $50/hr

... modeling and simulation- helping innovative global manufacturers design better products, faster ... Comfortable working in a remote work environment preferably in the California region * Experience ...

$18 - $50/hr

... modeling and simulation- helping innovative global manufacturers design better products, faster ... Comfortable working in a remote work environment preferably in the California region * Experience ...

$18 - $50/hr

... modeling and simulation- helping innovative global manufacturers design better products, faster ... Comfortable working in a remote work environment preferably in the California region * Experience ...

$18 - $50/hr

... modeling and simulation- helping innovative global manufacturers design better products, faster ... Comfortable working in a remote work environment preferably in the California region * Experience ...

$18 - $50/hr

... modeling and simulation- helping innovative global manufacturers design better products, faster ... Comfortable working in a remote work environment preferably in the California region * Experience ...

$18 - $50/hr

... modeling and simulation- helping innovative global manufacturers design better products, faster ... Comfortable working in a remote work environment preferably in the California region * Experience ...

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Remote Modeling Simulation Engineer information

What is a remote modeling simulation engineer?

Remote Modeling Simulation Engineers are professionals who use computer-based models and simulations to analyze, design, and optimize systems or products, often working from a location outside of a traditional office. They leverage specialized software to create virtual prototypes and run simulations, which helps in testing and improving designs without the need for physical experiments. These engineers collaborate with teams online, and their work is crucial in industries such as aerospace, automotive, energy, and manufacturing. Their remote setup allows companies to tap into a wider talent pool and offers professionals greater flexibility.

How does a remote modeling simulation engineer typically collaborate with cross-functional teams despite working remotely?

Remote Modeling Simulation Engineers frequently work with multidisciplinary teams, including software developers, project managers, and subject matter experts. Collaboration is typically facilitated through virtual meetings, shared simulation platforms, and cloud-based project management tools. Regular communication and thorough documentation are essential to ensure alignment on project goals and simulation requirements. While remote work offers flexibility, it also requires proactive engagement to stay connected and effectively contribute to team-driven problem solving.

What are the key skills and qualifications needed to thrive as a remote modeling simulation engineer, and why are they important?

To thrive as a Remote Modeling Simulation Engineer, you need a solid background in engineering or computer science, strong mathematical modeling skills, and experience with simulation methodologies. Familiarity with tools like MATLAB, Simulink, Python, and simulation software, along with relevant certifications such as Certified Systems Engineering Professional (CSEP), is often required. Exceptional problem-solving, self-motivation, and clear communication are crucial soft skills, especially when collaborating remotely with diverse teams. These skills ensure accurate model development, effective virtual teamwork, and the delivery of reliable simulation results for complex engineering challenges.

What is the difference between Remote Modeling Simulation Engineer vs Remote Data Analyst?

AspectRemote Modeling Simulation EngineerRemote Data Analyst
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; experience with simulation softwareBachelor's or higher in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentEngineering teams, simulation labs, software development settingsBusiness, finance, healthcare, or tech companies analyzing data sets
Industry UsageManufacturing, aerospace, automotive, defenseFinance, marketing, healthcare, technology
Common Search/ComparisonYesYes

The Remote Modeling Simulation Engineer focuses on creating and running simulations to predict system behaviors, often in engineering or manufacturing contexts. In contrast, the Remote Data Analyst interprets data to inform business decisions across various industries. While both roles require analytical skills and technical knowledge, their tools, applications, and industry focus differ significantly.

What are the most commonly searched types of Modeling Simulation Engineer jobs in Tennessee?

The most popular types of Modeling Simulation Engineer jobs in Tennessee are:

What job categories do people searching Remote Modeling Simulation Engineer jobs in Tennessee look for?

The top searched job categories for Remote Modeling Simulation Engineer jobs in Tennessee are:

What cities in Tennessee are hiring for Remote Modeling Simulation Engineer jobs?

Cities in Tennessee with the most Remote Modeling Simulation Engineer job openings:

Infographic showing various Remote Modeling Simulation Engineer job openings in Tennessee as of September 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 100% Remote job distribution.

Distribution Grid Modeling and Analytics - Engineer Staff III

Knoxville, TN • On-site, Remote

Electric Power Research Institute, Inc.
1 - 5K employees

$92K - $101K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

Job Title:Distribution Grid Modeling and Analytics - Engineer Staff IIILocation:Knoxville, TNJob Summary and Description:

Utilities around the world are transforming their distribution systems to support electrification, distributed energy resources (DER), resilience, decarbonization, and growing operational complexity. As planning and operations become increasingly data-driven, utilities need advanced analytics, high-fidelity modeling, artificial intelligence, and trusted data to maintain a reliable, resilient, and efficient grid.

The EPRI Distribution Operations and Planning team leads collaborative research that advances the state of the art in distribution system planning and operations. Through the development of innovative methodologies, simulation tools, analytics, and field-validated solutions, the team addresses challenges spanning grid modernization, DER integration, protection, resilience, operations, and emerging technologies.

This position conducts research in advanced power system modeling, simulation, AI, machine learning, and measurement-based analytics. The successful candidate will develop and apply advanced analytical methods that combine power system models with data-driven approaches, leveraging utility data to improve planning, operations, and protection while translating cutting-edge research into practical solutions for the electric utility industry.

Key Responsibilities:

  • Makes significant contributions to advanced modeling, simulation, and analytics projects

  • Conducts independent research activities with guidance and contributes to development of new tools, methodologies, and research approaches to address industry challenges

  • Evaluate emerging technologies and applications through analytical and field-based studies

  • Contribute to technical publications, conference papers, webinars, and industry presentations

  • Support proposal development and strategic research planning activities

  • Engage with utility members to identify challenges, transfer research outcomes, and support technology adoption

  • Contribute to the development and evaluation of AI-enabled tools and analytics applications for utility planning and operations

  • Develop and apply repeatable processes for measurement data cleaning, quality assessment, and integration

  • Conduct model verification and validation activities using utility measurement data

  • Assess the applicability, limitations, and performance of emerging AI technologies within utility environments

Ideal candidate:

  • Strong knowledge of power system fundamentals, specifically distribution systems

  • Demonstrated experience developing software tools and analytical applications using Python, C#, Delphi, Java, or similar languages

  • Experience with distribution system model development, validation, and verification

  • Experience cleaning and utilizing utility measurement data from AMI, SCADA, and other field sources

  • Proven ability to conduct power systems analytical studies, with an emphasis on distribution modeling and simulation

  • Demonstrated experience with one or more industry modeling and simulation tools such as OpenDSS, CYME, Synergi, Milsoft, PowerFactory, EMTP, PSCAD

  • Experience applying AI, machine learning, or advanced analytics techniques to power system applications

  • Familiarity with modern AI and data science frameworks such as TensorFlow, PyTorch, Scikit-Learn, LLM-based systems, agentic workflows, or related technologies is desirable

  • Experience modeling high penetrations of DER, inverter-based resources, electrification technologies, and flexible loads

Preferred Education:

  • Bachelor's degree in a technical field or equivalent experience

  • Preferred MS or PhD in Electrical Engineering with Power System emphasis

  • Minimum 2-3 years of engineering, utility, consulting, research, or equivalent experience preferred.

Location:

  • This role is based out of our Knoxville, TN office. Remote work considered for the right candidate.

The salary range for this position is $92,000 USD to $101,000 USD annually.This salary range is an estimate, and the actual salary may vary based on various factors, including without limitation applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant's geographic location.This role is eligible to participate in EPRI's annual incentive program. The amount of incentive varies and is subject to the terms and conditions of the plan.This role is eligible to participate in EPRI's standard employee benefit programs, which currently include the following: medical, dental, vision, 401k, STD/LTD and paid family leave, life and accident insurance, paid time off (flexible vacation, sick leave, and holiday pay).EPRI participates in E-Verify, an online system operated jointly by the Department of Homeland Security and the Social Security Administration (SSA). EPRI uses the system to check the work status of new hires by comparing information from the employee's I-9 form against SSA and Department of Homeland Security databases.EPRI is an equal opportunity employer. EEO/AA/M/F/VETS/DisabledTogether . . . Shaping the Future of Energy.www.epri.com