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Computational Modeling Simulation Multiphysics Jobs in Chicago, IL

DevOps Engineer

Lemont, IL · Hybrid

$53.25 - $72.75/hr

... computational science community. We help researchers solve some of the world's largest and most ... AI model training and inference on leadership-class systems, perform distributed simulations ...

DevOps Engineer

Lemont, IL · Hybrid

$53.25 - $72.75/hr

... computational science community. We help researchers solve some of the world's largest and most ... AI model training and inference on leadership-class systems, perform distributed simulations ...

DevOps Engineer

Lemont, IL · On-site

$69.75 - $108.81/hr

... computational science community. We help researchers solve some of the world's largest and most ... model training and inference on leadership‑class systems, perform distributed simulations ...

DevOps Engineer

Lemont, IL · On-site

$53.25 - $72.75/hr

... computational science community. We help researchers solve some of the world's largest and most ... AI model training and inference on leadership-class systems, perform distributed simulations ...

Showing results 41-60

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 Aug 22, 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 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 common challenges faced by professionals in computational modeling simulation multiphysics, 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 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 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 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:

Senior Associate, EVS Economic Services Data Science with Clearance

KPMG

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Job description

At KPMG, you can become an integral part of a dynamic team at one of the worlds top tax firms. Enjoy a collaborative, future-forward culture that empowers your success. Work with KPMGs extensive network of specialists; enjoy access to our Ignition Centers, where deep industry knowledge merges with cutting-edge technologies to create innovative tax solutions. Join a diverse team helping high-profile clients understand, analyze, and respond to a wide array of business opportunities and challenges. Develop your career through multifaceted engagements, formal training, and informal mentoring. At KPMG, we believe nothing is more important than investing in our culture because it is an investment in our people, our future, and what we stand for as a firm.
KPMG is currently seeking a Senior Associate to join our Economic & Statistical Consulting practice.
Responsibilities:
  • Perform statistical, economic, and financial analysis on economic, regulatory and policy issues of significance to a range of clients in the public and private sectors, both domestically and internationally
  • Develop and apply complex computer algorithms to process and manage data, build tools, and automate manual tasks
  • Advance mathematical and computational models to simulate impact of policy changes or business decisions
  • Manipulate large data sets to support statistical, economic, financial analyses and apply creative, innovative, lateral thinking to problem solving
  • Craft rigorous, insightful narratives on the issues under analysis and translate these into informative professional reports and presentations as needed that are accessible to non-specialists but add value for clients
  • Write technical and non-technical memoranda and reports based on research and findings from analyses
  • Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment

Qualifications:
  • Minimum three years of recent experience with advisory-related projects within a quantitative analysis firm
  • Master's degree or higher from an accredited college/university preferred; minimum of a Bachelor's degree in economics, statistics, mathematics, applied mathematics or computer science from an accredited college/university is required; coursework or minor in Information Systems, Software Engineering, Data Science or Data Analytics
  • Minimum two years of experience with one of the following data analysis software such as STATA, SAS, Python, SQL and R
  • Experience with management and analysis of large volumes of data, financial analysis and valuation, statistical analysis, building and working with economic or mathematical models, and econometric analyses
  • Experience with data science, machine learning methods, and LLM-based solutions and products
  • Demonstrated ability to think creatively and offer solutions to solve complex economic, financial, and business challenges for clients
  • Excellent written and verbal communication skills, solid research skills, and the ability to work well both autonomously and in a team environment
  • Applicant must possess a U.S. Government Secret clearance
  • Applicants must be authorized to work in the U.S without the need for employment-based sponsorship now or in the future; KPMG LLP will not sponsor applicants for US work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

KPMG LLP and its subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work .
Follow this link to obtain salary ranges by city outside of CA:
https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=M302B_4_26
KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.
KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.
Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.