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Battery Modeling Jobs in Michigan (NOW HIRING)

General Motors

CAE Modeling Lead

Warren, MI · On-site

We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery ... The Role Virtual Design, Development & Validation - Modeling Lead : You will be responsible for ...

General Motors

CAE Modeling Lead

Warren, MI · On-site

We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery ... The Role Virtual Design, Development & Validation - Modeling Lead : You will be responsible for ...

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Battery Modeling information

What are the key skills and qualifications needed for battery modeling?

To thrive in Battery Modeling, you need a strong background in electrochemistry, applied mathematics, physics, or engineering, often supported by an advanced degree in these fields. Proficiency in simulation tools such as MATLAB, COMSOL Multiphysics, or Python, and familiarity with battery management systems and modeling software are typically required. Strong analytical thinking, problem-solving abilities, and effective collaboration skills help set candidates apart. These capabilities are crucial for developing accurate battery models, driving innovation, and working effectively within multidisciplinary research or engineering teams.

What does someone in battery modeling do?

Professionals in Battery Modeling spend their days designing and simulating battery systems, analyzing test data, and refining computational models to predict battery performance and lifespan. They often collaborate with cross-functional teams including hardware engineers, chemists, and product designers to ensure models align with experimental results and real-world application needs. Regular responsibilities may also include preparing technical reports, staying updated on advances in battery technology, and supporting validation testing. This dynamic role offers a blend of independent analytical work and teamwork to drive impactful results in battery development.

What is battery modeling?

A Battery Modeling job involves developing and utilizing mathematical models to simulate the behavior, performance, and degradation of batteries. Engineers in this role create models to predict battery life, efficiency, and thermal characteristics, aiding in design optimization and system integration. They work with tools like MATLAB, Simulink, and machine learning techniques to simulate real-world conditions. Battery modelers collaborate with researchers and engineers to improve battery technology for applications in electric vehicles, renewable energy storage, and consumer electronics. The role requires expertise in electrochemistry, physics-based modeling, and data analysis.

What are the most commonly searched types of Battery Modeling jobs in Michigan?

The most popular types of Battery Modeling jobs in Michigan are:

What are popular job titles related to Battery Modeling jobs in Michigan?

For Battery Modeling jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Battery Modeling jobs in Michigan look for?

The top searched job categories for Battery Modeling jobs in Michigan are:

What cities in Michigan are hiring for Battery Modeling jobs?

Cities in Michigan with the most Battery Modeling job openings:

Battery Modeling jobs near you
Infographic showing various Battery Modeling job openings in Michigan as of August 2026, with employment types broken down into 84% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Multidomain Simulation Modeling Lead

Stellantis

Auburn Hills, MI • On-site

Full-time

Re-posted 3 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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