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Computational Modeling Simulation Multiphysics Jobs in Rochester, MI

... simulation and modeling. The ideal candidate will have experience using Flow-3D and other CFD tools ... Strong background in computational fluid dynamics, fluid mechanics, and numerical methods.

... simulation and modeling. The ideal candidate will have experience using Flow-3D and other CFD tools ... Strong background in computational fluid dynamics, fluid mechanics, and numerical methods.

This team provides advanced simulation services across Automotive, Aerospace, Defense, Medical, and ... Minimum 7-10 years of professional experience with Multiphysics CAE tools (e.g., Nastran, Ansys ...

Develops whole-building dynamic thermal and energy simulation models across diverse building types ... Familiarity with computational design and parametric modeling preferred * Familiarity with energy ...

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Computational Modeling Simulation Multiphysics information

See Rochester, MI salary details

$35.9K

$93.2K

$132.5K

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

As of Jun 18, 2026, the average yearly pay for computational modeling simulation multiphysics in Rochester, MI is $93,201.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,300.00 and $119,200.00 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.
Infographic showing various Computational Modeling Simulation Multiphysics job openings in Rochester, MI as of June 2026, with employment types broken down into 76% Full Time, 18% Part Time, 1% Temporary, and 5% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $93,201 per year, or $44.8 per hour.
Battery Modeling Engineer (1455631)

Battery Modeling Engineer (1455631)

Brightwing

Auburn Hills, MI • On-site

$39 - $44/hr

Other

Posted 14 days ago


Job description

Job Description Minimum 3 days on site per week in Auburn Hills, MI We are seeking a highly skilled and innovative Battery Modeling Engineer to join our Innovation Team. The candidate will be responsible for developing and/or enhancing battery modeling tools and performing cell performance and ageing simulations in support of cell technology Innovation projects. - Develop/enhance numerical tools to implement and couple the physical phenomena governing the performance (chemical, thermal, mechanical, and ageing) and safety (thermal runaway) of battery cells.

Leverage ML/AI where applicable. - Perform cell performance and ageing simulations in support of all the cell technology Innovation projects within the Battery Advanced Functional Design team, to evaluate the Key Performance Indicators (KPIs) of the disruptive technologies in cell electrochemistry for automotive applications. - Assist with completion of Technology Readiness Level (TRL) evaluations on time, by providing pertinent virtual analysis results including pack performance metrics such as charge time and thermal system requirements.

- Help scout, analyze and assess promising technologies or concepts from various sources (press, media, scientific publications, conferences, direct contacts with suppliers, startups or academic partners). - Contribute to mid- and long-term roadmaps for cell electrochemistry in accordance with the Expertise Network. - Collaborate with other virtual engineering teams within the company that work on battery cell and pack performance evaluation.

- Collaborate with other supporting technical teams such as materials and processes, standards, purchasing, component and subsystem testing. - To arbitrate decisions on relative perimeter and to escalate major gaps that require higher level arbitration. Requirements: -MINIMUM 3 DAYS ONSITE per week - Engineering Degree in Materials, Electrical, Electrochemistry or related degree field.

- Experience in lithium-ion battery technologies and materials. - 3+ years of experience in cell electrochemistry modeling. - Proficient in numerical modeling using computational tools such as MATLAB, Simulink, COMSOL, and GT-AutoLion.

- Advanced used of Microsoft Office applications. Preferred Requirements: - Master's or PhD in Materials Engineering or Electrochemistry. - 5+ years of experience in cell electrochemistry modeling.

- Excellent interpersonal skills to work in a cross functional, multi-cultural, and global team environment. - Experience to provide technical guidance and direction during supplier technical reviews. - Fluent in English with excellent presentation skills.

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