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Computational Modeling Simulation Multiphysics Jobs

Deploy models via simple UIs using the Mondelez-approved technology stack, in collaboration with IT ... ANSYS Fluent, COMSOL Multiphysics * Finite element analysis (ANSYS, Abaqus) * Process modelling ...

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Computational Modeling Simulation Multiphysics information

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$39K

$101.3K

$144K

How much do computational modeling simulation multiphysics jobs pay per year?

As of May 30, 2026, the average yearly pay for computational modeling simulation multiphysics in the United States is $101,255.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computational Modeling Simulation Multiphysics Engineer, and why are they important?

A strong background in physics, engineering, mathematics, and computational science—typically with an advanced degree—is essential for a Computational Modeling Simulation Multiphysics Engineer. Proficiency in simulation software such as ANSYS, COMSOL Multiphysics, MATLAB, and programming languages like Python or C++ is commonly required, along with familiarity with high-performance computing environments. Analytical thinking, problem-solving skills, and effective communication set standout professionals apart in this field. These capabilities enable accurate modeling of complex physical phenomena, efficient collaboration, and successful project outcomes in research and industry settings.

What are some common challenges faced by professionals in Computational Modeling Simulation Multiphysics roles, and how can they be addressed?

One of the main challenges in Computational Modeling Simulation Multiphysics roles is managing the complexity of integrating multiple physical phenomena, such as thermal, structural, and fluid dynamics, into a single simulation. This often requires a deep understanding of both the underlying physics and the numerical methods used by simulation software. Collaborating closely with domain experts and maintaining clear communication within multidisciplinary teams can help address these challenges. Additionally, staying updated with advances in simulation tools and best practices through continuous learning is key to overcoming technical hurdles and ensuring accurate results.

What is computational modeling simulation multiphysics?

Computational modeling simulation multiphysics refers to the use of computer-based models to simulate and analyze systems that involve multiple interacting physical phenomena—such as fluid dynamics, heat transfer, electromagnetics, and structural mechanics—all at once. This approach allows researchers and engineers to predict complex real-world behavior, optimize designs, and reduce the need for expensive prototypes. Multiphysics simulations are widely used in industries like aerospace, automotive, energy, and biomedical engineering, where accurate modeling of coupled physical processes is critical.

What is the difference between Computational Modeling Simulation Multiphysics vs Computational Engineer?

AspectComputational Modeling Simulation MultiphysicsComputational Engineer
CredentialsTypically requires degrees in engineering, physics, or related fields; certifications in simulation software are commonSimilar educational background; often holds engineering degrees and software certifications
Work EnvironmentPrimarily in R&D labs, engineering firms, or manufacturing settings focusing on complex simulationsInvolved in product development, software development, or systems design in various industries
Industry UsageUsed in aerospace, automotive, energy, and manufacturing for advanced simulationsApplied across industries for designing, analyzing, and optimizing systems and products

While both roles involve computational skills and engineering principles, Computational Modeling Simulation Multiphysics specializes in complex, multi-physics simulations, whereas Computational Engineer focuses on designing and implementing computational solutions across various engineering projects.

More about Computational Modeling Simulation Multiphysics jobs
What cities are hiring for Computational Modeling Simulation Multiphysics jobs? Cities with the most Computational Modeling Simulation Multiphysics job openings:
What states have the most Computational Modeling Simulation Multiphysics jobs? States with the most job openings for Computational Modeling Simulation Multiphysics jobs include:
What job categories do people searching Computational Modeling Simulation Multiphysics jobs look for? The top searched job categories for Computational Modeling Simulation Multiphysics jobs are:
Infographic showing various Computational Modeling Simulation Multiphysics job openings in the United States as of May 2026, with employment types broken down into 77% Full Time, 21% Part Time, and 2% Contract. Highlights an 79% Physical, and 21% Remote job distribution, with an average salary of $101,255 per year, or $48.7 per hour.
Group Manager - Scalable Algorithms, Modeling, and Simulation

Group Manager - Scalable Algorithms, Modeling, and Simulation

The National Renewable Energy Laboratory (NREL)

Golden, CO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Posting Title
Group Manager - Scalable Algorithms, Modeling, and Simulation
Location
CO - Golden
Position Type
Regular
Hours Per Week
40
Working at NLR
NLR is located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development.
Join the National Laboratory of the Rockies (NLR), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth.
At NLR, you'll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being.
Job Description
The National Laboratory of the Rockies (NLR) is seeking an accomplished leader for the role of group manager within the Computational Science Center (CSC) with foci on Scalable Algorithms, Modeling, and Simulation. NLR's Computational Science Center conducts research to advance the science of computing across advanced computer science, visualization, data science, AI/ML, applied math, and computational science, as well as providing computing expertise to the NLR community and staffing for project execution.
The core mission of the Scalable Algorithms, Modeling, and Simulation (SAMS) group is at the intersection of applied mathematics and computational science for research; it includes basic and applied research in numerical methods, algorithms, and simulation code capability to address challenges in a wide variety of fluid flow regimes, including both internal and external flows in support of the NLR mission. The SAMS group is a broad, multidisciplinary organization, containing key institutional capabilities in fluid mechanics, computer science, applied mathematics, and simulation science. Collaboration is at the heart of our work - our researchers partner with scientists across NLR to deeply understand their computational challenges and co-develop tailored solutions, including cross-cutting capabilities for fluid mechanics simulation that enables rapid progress and deployment in the NLR mission space.
Reporting to the CSC Center Director, the Group Manager will oversee the SAMS group, driving excellence in organizational management and advancing strategic capabilities and programs that align with the center's and NLR's vision, strategy, and mission. As the manager of this group, the successful candidate will build on the capabilities established across this and other groups in the CSC. They will have the opportunity to shape the group's strategic plan. The candidate will translate strategic plans into actionable execution, deliver value over time, and maintain an active role in technical contributions. Additionally, they will collaborate with center leadership to develop new programs and business lines, enhancing the group's capabilities to further NLR's mission.
The position will require a combination of technical, managerial, and interpersonal skills. From a technical side, the manager will need to have a deep understanding of computational simulation concepts, such as scalable CFD discretization and algorithms, multiphysics/multiregime fluid modeling, linear and nonlinear solvers at scale, time integration and stability, geometry, meshing, and adaptation pipelines, high-performance computing and performance portability, and cross-domain co-design and impact. The candidate should have a record of scientific accomplishment and programmatic delivery in these areas.
From a leadership perspective, the candidate must possess the ability to set and communicate a clear vision for the group's goals and align them with broader institutional objectives. They must be proficient in managing complex, multidisciplinary projects, ensuring timely delivery, while adhering to budgets. The manager must also have experience in optimizing team resources, securing funding, and allocating computational assets effectively, foster a culture of innovation, and collaboration across a team with wide-ranging technical expertise, and be able to navigate organizational shifts, adopt new technologies, and adapt workflows to evolving needs.
Additionally, a candidate must demonstrate excellent interpersonal and communication skills including collaboration and stakeholder engagement, technical communication, conflict resolution, and mentorship and talent development.
Specific duties of this position include:
  • Provide vision, strategic planning, and leadership to the group and center around scalable algorithms, modeling, and simulation.
  • Work closely with other group managers to develop computational strategy writ large to address the NLR mission.
  • Keep up to date with advancements in technologies related to the focus of the SAMS group.
  • Develop strategic staffing plans and recruit world-class talent.
  • Hold regular team meetings to review strategic priorities, promote team cohesion, and provide growth paths for staff.
  • Effectively manage the group with respect to finances, performance reviews, and other administrative functions necessary for proper execution.
  • Actively support workforce development by providing coaching, mentoring, training, and other development opportunities for staff and managers.
  • Honor NLR's employment opportunity, affirmative action, and anti-sexual-harassment programs, policies, and procedures.

A successful leader at NLR embodies the following personal competencies:
  • Credibility & Integrity: Earn trust through honesty and transparency.
  • Compassion and Empathy and Sensitivity: Foster a supportive, inclusive environment.
  • Critical Decision Making: Make sound, timely decisions.
  • Coach and Develop Others: Empower staff growth and development.
  • Courage: Act decisively and persevere under pressure.
  • Communication: Convey ideas clearly and effectively across all audiences.

Basic Qualifications
Group Manager II Level-
Bachelor's Degree and 9-years' experience in technically related research discipline; Or, Master's Degree and 7-years' experience in technically related research discipline; Or, PhD and 4-years' experience in technically related research discipline. Previous management, budget development or significant leadership in an individual contributor role required.
Group Manager III Level -
Bachelor's Degree and 14-years' experience in technically related research discipline; Or, Master's Degree and 12-years' experience in technically related research discipline; Or, PhD and 9-years' experience in technically related research discipline. Previous management, budget development required.
* Must meet educational requirements prior to employment start date.
Additional Required Qualifications
  • Passion for delivering on the practical realities of future computing, including novel computing paradigms, massive heterogeneity, and evolving software stacks, with science as the main driver.
  • Experience integrating AI/ML with simulation and modeling workflows and advancing AI-enabled computational science.
  • Demonstrated success in leading or contributing to proposal development and funding capture.
  • Strong analytical skills and creative thinking abilities.
  • Evidence of impactful ideas realized in code, publications, benchmarks, or deployed capabilities; willingness to iterate, learn from failure, and refine designs.
  • Track record of research and/or technology innovation in computational science or related discipline.
  • Ability to lead and direct personnel with diverse skills, work styles, and values, both directly and through subordinate management.
  • Excellent customer and solution-oriented problem-solving skills.
  • Ability to lead and influence across organizational boundaries in a matrixed research environment.
  • Ability to develop and maintain positive relationships internally to NLR and externally with sponsors and research partners.
  • Ability to bridge gaps between domain language (engineering, science) and computing solution language.
  • Excellent oral and written communication skills.
  • Excellent organization, project management, budgeting, interpersonal and communication skills.
  • Proven problem-solving and negotiation skills.
  • Ability to collaborate with individuals at all levels of the organization.
  • Demonstrated ability to effectively lead and direct personnel with diverse skills, work styles and values, both directly and through subordinate management.
  • Demonstrated skill in dealing with legal and ethical management issues and practices.
  • Broad and in-depth knowledge of the issues and best practices in the applicable field of expertise.

Preferred Qualifications
  • Thought leadership in multi-disciplinary collaborations.
  • Past leadership accomplishments, including managing a multi-disciplinary team.
  • Understanding of energy systems and technologies, artificial intelligence, HPC, or other relevant fields aligning with NLR's mission
  • Experience in business development and/or management across multiple sectors and diverse clients.
  • Exceptional leadership potential, including conceptual thinking ability; differentiated interpersonal, collaborative, and negotiating skills; ability to inspire and motivate personnel and model critical leadership skills and values; ability to engage effectively with both computational and analysis communities.
  • Initiative, creativity, and communication skills necessary to effectively propose new or expanded research efforts to the DOE as well as industrial and academic partners.
  • Preferred ability to obtain a DOE-sponsored security clearance.

Job Application Submission Window
The anticipated closing window for application submission is up to 30 days and may be extended as needed.
Annual Salary Range (based on full-time 40 hours per week)
Job Profile: Group Manager III / Annual Salary Range: $144,400 - $259,900
Job Profile: Group Manager II / Annual Salary Range: $120,400 - $216,700
NLR takes into consideration a candidate's education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee's salary history will not be used in compensation decisions.
Benefits Summary
Benefits include medical, dental, and vision insurance; short*- and long-term disability insurance; pension benefits*; 403(b) Employee Savings Plan with employer match*; life and accidental death and dismemberment (AD&D) insurance; personal time off (PTO) and sick leave; paid holidays; and tuition reimbursement*. NLR employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement. Limited-term positions are not eligible for long-term disability or tuition reimbursement.
* Based on eligibility rules
Badging Requirement
NLR is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation.
Drug Free Workplace
NLR is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug.
If you are offered employment at NLR, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn.
Submission Guidelines
Please note that in order to be considered an applicant for any position at NLR you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.
Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.
Reasonable Accommodations
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