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Computational Modeling Simulation Multiphysics Jobs in Rochester, MI

Cummins

RePower Program - Project Engineering

Troy, MI · On-site

Modeling & Simulation : Influence design decisions through computational modeling, simulation, and analysis that predict system and component performance. * Interface Integration : Ensure seamless ...

Cummins

RePower Program - Project Engineering

Troy, MI · On-site

Modeling & Simulation : Influence design decisions through computational modeling, simulation, and analysis that predict system and component performance. * Interface Integration : Ensure seamless ...

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All JobsComputational Modeling Simulation Multiphysics JobsComputational Modeling Simulation Multiphysics Jobs in Rochester, MI

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 Aug 1, 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.
What job categories do people searching Computational Modeling Simulation Multiphysics jobs in Rochester, MI look for? The top searched job categories for Computational Modeling Simulation Multiphysics jobs in Rochester, MI are:
Computational Modeling Simulation Multiphysics jobs near you
Infographic showing various Computational Modeling Simulation Multiphysics job openings in Rochester, MI as of June 2026, with employment types broken down into 54% Full Time, 43% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $93,201 per year, or $44.8 per hour.

Multidomain Simulation Modeling Lead

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 19 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

14th of 44 rated automakers

Job description

The Multi-Domain Simulation Lead is a technical leadership role within the VSIM - STLASim Core Tool Development team. STLASim is Stellantis' common system simulation platform used across global vehicle programs to support the design, development, and validation of conventional, hybrid, and battery electric vehicles.
This position leads the development and integration of multi-domain simulation solutions, including the co-simulation of MATLAB/Simulink, GT-Power, AMESim and other detailed models, enabling engineers to evaluate vehicle and powertrain performance through virtual engineering techniques before physical prototypes are available.
Responsibilities:
  • Leading the development and integration of system-level, multi-domain simulation models that represent complete vehicle and powertrain behavior, including mechanical, electrical, thermal, and control systems.
  • Owning the integration and co-simulation of third-party physics-based tools, such as GT-Power engine and thermal models and AMESim driveline and system models, within a MATLAB/Simulink-based simulation framework.
  • Designing and maintaining co-simulation architectures and interfaces that enable consistent data exchange, synchronization, and execution between MATLAB/Simulink, GT-Power, and AMESim models.
  • Defining and governing model architectures, shared libraries, and integration standards to ensure scalability, reuse, and consistency across multiple vehicle and powertrain configurations.
  • Planning, prioritizing, and coordinating thermal, driveability and durability activities across internal teams and external contributors.
  • Leading MATLAB/Simulink-based multi-domain development through a combination of technical guidance, code and model review, and direct development involvement when required to address complex or critical issues.
  • Acting as the primary technical authority for cross-domain model behavior, including diagnosing and resolving issues arising from interactions between engine, transmission, electric machine, battery, thermal, and vehicle systems.
  • Defining and executing validation and correlation strategies to ensure co-simulated results are robust, repeatable, and suitable for engineering decision-making.
  • Supporting internal engineering users by overseeing issue triage and resolution related to system-level and co-simulation behavior.
  • Driving continuous improvement of model robustness, computational performance, and complexity management to enable scalable simulation across multiple vehicle programs.

Basic Qualifications:
  • Bachelor's degree in Mechanical Engineering, Electrical Engineering, Controls Engineering, Systems Engineering, or a related engineering field.
  • 7 + years of experience developing system-level or multi-domain simulation models for complex engineered systems.
  • Strong hands-on experience with MATLAB and Simulink, including development, integration, and debugging of large-scale system models.
  • Experience with co-simulation and tool integration, including coupling GT-Power engine/thermal models and AMESim driveline or system models with MATLAB/Simulink.
  • Experience defining and maintaining co-simulation interfaces, data exchange mechanisms, and model execution workflows across multiple simulation tools.
  • Demonstrated experience leading technical activities involving model integration, validation, and cross-domain simulation.
  • Strong analytical, problem-solving, and technical communication skills.

Preferred Qualifications:
  • Master's degree in Mechanical Engineering, Electrical Engineering, Controls Engineering, Systems Engineering, or a related engineering field.
  • Experience in a technical lead or engineering team lead role with responsibility for model architecture, integration standards, and technical direction.
  • Experience developing vehicle-level simulation solutions for conventional, hybrid, plug-in hybrid, or battery electric vehicles.
  • Experience defining and governing shared modeling libraries, reusable components, and simulation development standards.
  • Experience coordinating work across global engineering teams and external partners.
  • Familiarity with powertrain systems, including engines, transmissions, electric machines, batteries, thermal systems, and vehicle dynamics.
  • Experience improving simulation performance, scalability, and deployment of large engineering model frameworks.

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