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Computational Engineer Jobs in Tennessee (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

Memphis, TN · Remote

$80 - $110/hr

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

micro1 AI

Bioinformatics Software Engineer

Knoxville, TN · Remote

$80 - $110/hr

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

micro1 AI

Bioinformatics Software Engineer

Nashville, TN · Remote

$80 - $110/hr

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Cadre5

Kubernetes Platform Engineer

Knoxville, TN

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Our Cadre5 Lab Partners division has partnered with the National Center for Computational Sciences (NCCS) at Oak Ridge National Laboratory (ORNL) to recruit a Kubernetes Platform Engineer for the ...

Cadre5

Full Stack AI Engineer

Knoxville, TN

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Full Stack AI Engineer Founded in 1999 in the beautiful Smoky Mountains of East Tennessee, Cadre5 ... Our Cadre5 Lab Partners division has partnered with the National Center for Computational Sciences ...

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Computational Engineer information

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$44K

$110.3K

$124.8K

How much do computational engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for computational engineer in Tennessee is $110,289.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,200.00 and $119,400.00 per year, depending on experience, location, and employer.

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

To thrive as a Computational Engineer, you need a strong background in mathematics, physics, computer science, and engineering principles, typically supported by a relevant degree. Proficiency in programming languages (such as Python, C++, or MATLAB), experience with simulation software (like ANSYS or COMSOL), and familiarity with high-performance computing environments are essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help set top performers apart in this field. These skills are crucial for developing accurate models, optimizing complex systems, and effectively collaborating in multidisciplinary teams.

What is a computational engineer?

A computational engineer is a professional who uses advanced computing techniques and mathematical models to solve complex engineering problems. They develop simulations, algorithms, and software to analyze and optimize systems in fields such as aerospace, automotive, civil engineering, and more. Their work often involves programming, data analysis, and applying principles from physics and mathematics to create efficient solutions. Computational engineers bridge the gap between traditional engineering and computer science, enabling innovation through technology.

How does a computational engineer typically collaborate with multidisciplinary teams on complex projects?

Computational Engineers frequently work alongside professionals from various disciplines such as mechanical engineers, data scientists, and software developers. Effective collaboration often involves translating engineering problems into computational models, communicating technical requirements, and integrating simulation results into broader project workflows. Regular meetings, shared documentation, and collaborative software tools are commonly used to ensure alignment and progress. This team-based approach helps deliver accurate and actionable insights for product design, optimization, or research objectives.

What do computational engineers do?

Computational engineers develop and apply mathematical models, algorithms, and simulations to solve complex engineering problems. They often use programming languages and software tools to analyze data, optimize systems, and support design processes across various industries such as aerospace, automotive, and energy.

How much do computational engineers make?

Computational engineers typically earn a median salary ranging from $80,000 to $120,000 annually, depending on experience, education, and industry. Senior roles or those with specialized skills in programming, simulation, or data analysis can command higher salaries, especially in high-demand sectors like aerospace, defense, or technology companies.

What is the difference between Computational Engineer vs Software Engineer?

AspectComputational EngineerSoftware Engineer
Required CredentialsBachelor's or Master's in Engineering, Computer Science, or related fields; knowledge of programming and numerical methodsBachelor's or Master's in Computer Science, Software Engineering, or related fields; strong programming skills
Work EnvironmentResearch labs, engineering firms, tech companies; often involves simulation and modelingTech companies, startups, software firms; focuses on application development and system design
Industry UsageEngineering, aerospace, automotive, scientific researchIT, software development, technology services

Computational Engineers and Software Engineers share programming skills and work in tech-related environments. However, Computational Engineers focus more on applying computational methods to engineering problems, simulations, and modeling, while Software Engineers primarily develop software applications and systems. Both roles require strong technical backgrounds but serve different industry needs.

What are popular job titles related to Computational Engineer jobs in Tennessee?

For Computational Engineer jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Computational Engineer jobs in Tennessee look for?

The top searched job categories for Computational Engineer jobs in Tennessee are:

Computational Engineer jobs near you
Infographic showing various Computational Engineer job openings in Tennessee as of August 2026, with employment types broken down into 89% Full Time, 5% Part Time, and 6% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $110,289 per year, or $53 per hour.

Research Computing Facilitator: National Institute for Computational Sciences - UTK

The University of Tennessee

Oak Ridge, TN • On-site

$9/hr

Full-time

Posted 20 days ago

Job description


The National Institute for Computational Sciences (NICS) at the University of Tennessee, Knoxville (UTK) is seeking a Research Computing Facilitator I for its Scientific Computing Group (SCG). NICS is a part of the Min H. Kao Department of Electrical Engineering and Computer Science within the Tickle College of Engineering at UTK. NICS operates computing resources and supports the University of Tennessee, Oak Ridge National Laboratory, and national science and engineering communities enhancing their capability to address computationally challenging research problems. A critical component of this support includes research computing support for computational science workflows within the SCG. This position reports to the NICS Scientific Computing Group Leader.
Responsibilities
The successful candidate will serve as a liaison between NICS and its users, collaborators, and partners and is responsible for the delivery of user-facing services, administration of collaborative and stakeholder projects, and the design of innovative solutions that meet stakeholder needs and challenges. Activities include:
  • Research Computing Facilitation (Intermediate) - Collaborate with NICS projects, partners, and stakeholders to plan, design, analyze, and implement solutions that meet the needs and challenges of their respective projects. Uses innovative solutions to solve problems and modifies solutions to address policy, cybersecurity, or deployment needs.
  • Solution Architect and Project Lead (Entry Level) - Leads, modifies, deploys, implements, designs, tests, and manages critical, high impact, or urgent projects. Provides work direction to project co-workers and researches emerging technologies, methodologies, and solutions for incorporation into existing or developing projects.
  • Customer Service and Training - Provides excellent customer service. Develops and presents customer, end-user, and stakeholder training at the project level and at applicable local, regional, and national venues to promote advances in research computing, increase the visibility and applicability of solutions, and enable solution utilization.
  • Community Education and Outreach - Author, co-author, and/or present work including conference papers, journal papers, white papers, conference posters, brown bag sessions, classroom presentations, etc.
  • Grant Proposal Writing - Contribute to University related grants either as PI, Co-PI, or Senior Personnel

Qualifications
REQUIRED QUALIFICATIONS
  • Education: Master's degree in science, engineering, computer science, or related discipline.
  • Experience:
    • Three years of experience in performing and/or supporting computational research with high-performance computing (HPC) resources and technologies (e.g., Linux clusters, batch job schedulers, and application installation)
  • Knowledge, Skills, and Abilities:
    • Broad knowledge and expertise in programming and scripting languages (e.g., Fortran, C/C++ and Python).
    • Broad knowledge and expertise in parallel computing paradigms (e.g., MPI, OpenMP, CUDA, and OpenACC).
    • Broad knowledge of scientific workflows and associated frameworks.

PREFERREDQUALIFICATIONS
  • Education: A Ph.D. or equivalent terminal degree in science, engineering, computer science, or related discipline is preferred.
  • Experience:
    • Five years of experience in multidisciplinary research activities and projects.
    • Experience with AI model frameworks such as PyTorch and TensorFlow.
    • Experience with container technologies and container orchestration frameworks (e.g., Docker, Apptainer, and Kubernetes)
  • Knowledge, Skills, and Abilities:
    • Knowledge and experience in artificial intelligence and machine learning methodologies including training and evaluating AI models, evaluating model architecture, or implementing agentic AI workflows.
    • Knowledge and experience managing and utilizing cloud providers including AWS, Google, or Azure.
    • Ability to develop and acquire funding for an independent research program.

OTHER REQUIREMENTS
The successful candidate will always maintain the highest level of professionalism when interacting with internal and external customers. In addition, the candidate must possess the following:
  • Ability to communicate effectively, build rapport, and cultivate functional working relationships with students, faculty, researchers, co-workers, and other staff.
  • Ability to think critically and creatively about technical and nontechnical challenges utilizing technical documentation and other resources as necessary to increase understanding and/or identify solutions.
  • Ability to adapt quickly to rapidly changing technologies and requirements.
  • Ability to self-organize and effectively manage time commitments between projects, meet critical project deadlines, and proactively communicate status and issues with project stakeholders and supervisors.

Work Location
  • Location: Knoxville, TN
  • Hybrid

Compensation and Benefits
  • UT market range: MR14
  • Anticipated hiring range: $90,000 - $110,000
  • Find more information on the UT Market Range structure here
  • Find more information on UT Benefits here

Application Instructions
To express interest, please submit an application with the noted below attachments.
  • Resume
  • Cover Letter

About Us
The University of Tennessee, Knoxville, has shaped leaders, changemakers, and innovative thinkers since its founding in 1794. The university is home to more than 38,000 students and 10,000 statewide employees-the Volunteers-who uphold the university's tradition of lighting the way for others through leadership and service.
UT Knoxville offers over 900 programs of study across 14 degree-granting colleges and schools. As Tennessee's flagship land-grant university, its footprint spans the entire state. The university holds the highest Carnegie classification for research activity and has deep partnerships with industry leaders and the US Department of Energy's largest multidisciplinary laboratory, Oak Ridge National Laboratory.
The Knoxville campus serves and recruits for UT Knoxville, including the Institute of Agriculture and the Space Institute, as well as the UT Institute of Public Service.
UT Knoxville considers its employees its number one asset. With values that focus on work-life balance, compensation, and innovation leadership, all Vols are supported to advance professionally. Employees have access to career development and coaching, continued education, and an extensive list of development and training possibilities. The Volunteer employee experience implements structures and practices to attract and retain top-tier talent, fostering a strong staff community and supporting a culture of involvement and engagement for everyone.
The university holds a strong commitment to its land-grant mission of learning and engagement, with a tradition of service and leadership that carries that Volunteer spirit throughout the state and around the world. It has been ranked nationally as "Best Employer for New Graduates," "One of America's Best Large Employers," and "Best Workplace for Women," and has been designated as "Best Place for Working Parents" by Forbes Magazine.
Apply today and join the Tennessee Volunteer community!

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