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Modeling Simulation Engineer Jobs in Tennessee (NOW HIRING)

BNH

AI Engineer

Arnold Air Force Base, TN · On-site

$85K - $115K/yr

AI Engineer Location: Arnold AFB, TN Job Family Code: Digital Enterprise Function/Branch ... the Nation through modeling, simulation, and ground and flight test. Execution of the mission ...

Vanderbilt University

Research Scientist

Nashville, TN · On-site

The Research Engineer will develop and integrate intelligent additive manufacturing systems that ... Familiarity with modeling, simulation, or digital twin development frameworks. * Understanding of ...

BNH

Cybersecurity Engineer

Arnold Air Force Base, TN · On-site

$105K - $140K/yr

Engineering Tech & Support Position Type: Regular, Full-Time Pay Type: Exempt Grade: L08 (PA0830 ... through modeling, simulation, and ground and flight tests. Execution of the mission requires a ...

BNH

Cybersecurity Engineer

Arnold Air Force Base, TN

$105K - $140K/yr

... through modeling, simulation, and ground and flight tests. Execution of the mission requires a ... As a Cybersecurity Engineer, you will work to lead the end-to-end design and implementation of ...

BNH

Cybersecurity Engineer

Arnold Air Force Base, TN

$105K - $140K/yr

Engineering Tech & Support Position Type: Regular, Full-Time Pay Type: Exempt Grade: L08 (PA0830 ... through modeling, simulation, and ground and flight tests. Execution of the mission requires a ...

BNH

Cybersecurity Engineer

Arnold Air Force Base, TN

$105K - $140K/yr

Engineering Tech & Support Position Type: Regular, Full-Time Pay Type: Exempt Grade: L08 (PA0830 ... through modeling, simulation, and ground and flight tests. Execution of the mission requires a ...

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All JobsModeling Simulation Engineer JobsModeling Simulation Engineer Jobs in Tennessee

Modeling Simulation Engineer information

See Tennessee salary details

$35.4K

$112K

$172.9K

How much do modeling simulation engineer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for modeling simulation engineer in Tennessee is $111,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $133,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Modeling Simulation Engineer, you need a strong background in mathematics, physics, and computer science, typically supported by a relevant engineering or science degree. Proficiency with simulation software such as MATLAB, Simulink, ANSYS, or similar tools, and sometimes certifications in systems engineering or modeling methodologies, are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills set top candidates apart. These qualifications are crucial for accurately representing complex systems, translating requirements into effective models, and collaborating with multidisciplinary teams to achieve project goals.

What does a Modeling Simulation Engineer do?

A Modeling Simulation Engineer develops virtual models and simulations to analyze complex systems and processes. They use mathematical models, computer simulations, and data analysis to predict system performance and optimize designs before physical implementation. These engineers typically work in industries like aerospace, defense, automotive, and healthcare to improve efficiency, safety, and decision-making. Their role often involves coding, algorithm development, and working with simulation software to test real-world scenarios in a virtual environment.

What are the typical responsibilities and project stages for a Modeling Simulation Engineer?

Modeling Simulation Engineers are responsible for developing mathematical models, running simulations, analyzing results, and providing recommendations to improve system performance or design. Projects often begin with understanding client or stakeholder requirements, followed by designing models based on those needs and iteratively refining them as data is collected. Engineers work closely with design, hardware, and software teams to validate models and ensure alignment with real-world performance. Collaborating with colleagues and presenting findings to both technical and non-technical audiences are routine aspects of the job, making cross-functional communication vital for project success.

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 are popular job titles related to Modeling Simulation Engineer jobs in Tennessee? For Modeling Simulation Engineer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Modeling Simulation Engineer jobs in Tennessee look for? The top searched job categories for Modeling Simulation Engineer jobs in Tennessee are:
What cities in Tennessee are hiring for Modeling Simulation Engineer jobs? Cities in Tennessee with the most Modeling Simulation Engineer job openings:
Modeling Simulation Engineer jobs near you
Infographic showing various Modeling Simulation Engineer job openings in Tennessee as of June 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $111,999 per year, or $53.8 per hour.
Research Associate, Atomistic Simulations & AI-Driven Molecular Modeling

Research Associate, Atomistic Simulations & AI-Driven Molecular Modeling

Oak Ridge National Laboratory

Oak Ridge, TN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Oak Ridge National Laboratory rating

9.3

Company rating: 9.3 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

3rd of 103 rated laboratories

Job description

Requisition Id 16218
Overview:
The Multiscale Biomedical Systems Group within the Advanced Computing in Health (ACH) section of the Computational Sciences and Engineering Division (CSED) at Oak Ridge National Laboratory (ORNL) seeks a motivated Research Professional.
This position primarily focuses on large-scale molecular dynamics (MD) simulations and AI-integrated multiscale modeling of complex biosystems. The successful candidate will also contribute to efforts that bridge molecular, cellular, and systems-level modeling, with growing relevance to emerging paradigms such as whole-cell modeling and networked biological systems.
You will work at the intersection of high-performance computing (HPC), computational biophysics, and machine learning, leveraging leadership-class computing resources and collaborating across ORNL, federal agencies, and academic partners.
Key Responsibilities:
  • Develop and apply scalable molecular dynamics (MD) and multiscale simulation workflows for biomolecular systems (proteins, enzymes, membranes, and complexes)
  • Integrate AI/ML approaches with physics-based simulations to accelerate discovery and improve predictive fidelity
  • Contribute to cross-scale modeling frameworks linking molecular interactions to cellular and network-level behavior (e.g. protein-protein interaction, PPI, network analysis)
  • Optimize simulation codes and workflows for leadership-class HPC architectures
  • Collaborate across interdisciplinary teams spanning biology, chemistry, computer science, and applied mathematics
  • Publish findings in high-impact journals and present at leading conferences

Required Qualifications:
  • Ph.D. (within 0-5 years) in computational bioscience, computational biophysics, computer science, or a related field
  • Strong programming skills in C++, Python, or similar scientific computing languages
  • Extensive experience with MD simulation tools such as NAMD, GROMACS, AMBER, or LAMMPS, and visualization tools (e.g., VMD, PyMOL)
  • Experience working on high-performance computing (HPC) systems
  • Demonstrated ability to conduct independent research with a strong publication record
  • Demonstrated ability to obtain research funding (DoE, DoD, NIH, NSF etc)
  • Excellent written and verbal communication skills for interdisciplinary collaboration
  • Commitment to ORNL's core values: Impact, Integrity, Teamwork, Safety, and Service

Preferred Qualifications:
  • Deep expertise in atomistic and multiscale simulation methods (e.g., MD, enhanced sampling, QM/MM)
  • Experience improving performance and scalability of simulation workflows via:
    • Parallelization and performance engineering
    • GPU/accelerator optimization
    • Algorithmic innovation
  • Experience applying machine learning or AI to molecular simulation, including:
    • Surrogate models or learned potentials
    • Generative models for biomolecular design
    • Representation learning for biomolecular systems
  • Familiarity with protein-protein interaction (PPI) networks, signaling pathways, or systems biology models (experience of bioinformatics tools)
  • Experience with integrated multiscale modeling frameworks connecting molecular dynamics to cellular or tissue-scale processes
  • Experience with deep learning frameworks such as PyTorch or TensorFlow
  • Exposure to AI-enabled scientific workflows that couple simulation with data-driven modeling, including emerging approaches involving foundation models or scientific LLMs

Special Requirements:
This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.
About ORNL:
As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation's most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.
ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience.
Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.
If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

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