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Computational Modeling Simulation Multiphysics Jobs in Chicago, IL

Leverage Computational Fluid Dynamics (CFD) to analyze and improve flow behavior in valves and ... Experience with CFD tools and simulation methods * Proficiency in CAD software (SolidWorks ...

Leverage Computational Fluid Dynamics (CFD) to analyze and improve flow behavior in valves and ... Experience with CFD tools and simulation methods * Proficiency in CAD software (SolidWorks ...

Leverage Computational Fluid Dynamics (CFD) to analyze and improve flow behavior in valves and ... Experience with CFD tools and simulation methods * Proficiency in CAD software (SolidWorks ...

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Computational Modeling Simulation Multiphysics information

See Chicago, IL salary details

$40.2K

$104.3K

$148.3K

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

As of Jun 25, 2026, the average yearly pay for computational modeling simulation multiphysics in Chicago, IL is $104,308.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,900.00 and $133,400.00 per year, depending on experience, location, and employer.

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.

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 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 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 are popular job titles related to Computational Modeling Simulation Multiphysics jobs in Chicago, IL? For Computational Modeling Simulation Multiphysics jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Computational Modeling Simulation Multiphysics jobs in Chicago, IL look for? The top searched job categories for Computational Modeling Simulation Multiphysics jobs in Chicago, IL are:
Scientific Data Services Engineer - AI & HPC

Scientific Data Services Engineer - AI & HPC

Argonne National Laboratory

Lemont, IL • On-site

$94K - $147K/yr

Full-time

Posted 4 days ago


Job description

The Argonne Leadership Computing Facility's (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing facilities in partnership with the computational science community. We help researchers solve some of the world's largest and most complex problems with our unique combination of supercomputing resources and computational science expertise.
The ALCF has an opening for a data services engineer working in the space of enabling AI for science, specifically targeting large-scale scientific data management. The successful candidate will join the Data Services and Workflows group, which focuses on scientific workflows that combine large-scale data, simulations, analysis, and AI. In this position, the candidate can expect to engineer solutions that expose terabytes to petabytes of scientific data to users and to AI models, emphasizing data ingestion, indexing, and search of diverse data. Working together with scientists, you will work to understand data from target science domains, how to structure it efficiently for search according to project requirements, and expose it to users through highly-usable web applications, and to AI applications through high-performance APIs.
The Data Services and Workflows group--and this position--involves work in a highly collaborative environment involving science application teams, academia and industry, as well as other national labs and agencies, to solve some of the world's largest and most complex problems in science and engineering. The candidate will engage with science application teams and contribute to broader scientific initiatives.
This position qualifies as "Hybrid Remote Work - Occasionally Onsite": which applies to employees typically working more than 60% of their time remotely.
Position Requirements
Required skills and qualifications
  • RD2: Bachelors and 5+ years of experience, Masters and 3+ years, or PhD and 0+ years, or equivalent
  • Degree in computer science, computational science, a physical science, engineering, or related field
  • Comprehensive experience programming in one or more programming languages such as Python, C/C++
  • Experience with at least one data management framework (e.g. OpenMetadata)
  • Experience with deployment in diverse environments (e.g. Kubernetes, HPC)
  • Ability to create, maintain, and support high-quality software is essential
  • Experience with version control software such as git
  • Ability to work collaboratively in a fast-paced environment
  • Effective written and oral communications skills
  • Ability to model Argonne's core values of impact, safety, respect, integrity and teamwork

Preferred skills and qualifications
  • A recent MS or PhD in computer science, computational science, a physical science, engineering, or related field
  • Experience working with scientific data in one or more domains
  • Experience working with parallel filesystems
  • Experience designing or operating data services, including deployment, analysis, and integration with AI language models
  • Experience profiling and optimizing data services for performance
  • Familiarity with secure, multi-user services, including authentication/authorization, and API security

Job Family
Research Development (RD)
Job Profile
Software Engineering 2
Worker Type
Regular
Time Type
Full time
The expected hiring range for this position is $94,486.00 - $147,398.94.
Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.
Click here to view Argonne employee benefits!
As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.
Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.
All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.