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Battery Modeling Jobs in Rochester, MI (NOW HIRING)

A123 Systems LLC

Battery Modeling Engineer

Novi, MI · Hybrid

AI Department at A123 Systems is hiring a Battery Modeling Engineer with the major responsibilities of developing physics-based models for different cell chemistry to understand the aging mechanisms ...

A123 Systems Corp.

Battery Modeling Engineer

Novi, MI · On-site

Position Overview The Advanced Simulation Technology & AI Department at A123 Systems is hiring a Battery Modeling Engineer with the major responsibilities of developing physics-based models for ...

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Battery Modeling information

See Rochester, MI salary details

$65.4K

$106.2K

$154.2K

How much do battery modeling jobs pay per year?

As of Aug 14, 2026, the average yearly pay for battery modeling in Rochester, MI is $106,237.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,400.00 and $119,700.00 per year, depending on experience, location, and employer.

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 popular job titles related to Battery Modeling jobs in Rochester, MI?

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

What cities near Rochester, MI are hiring for Battery Modeling jobs?

Cities near Rochester, MI with the most Battery Modeling job openings:

Battery Modeling jobs near you
Infographic showing various Battery Modeling job openings in Rochester, MI as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $106,237 per year, or $51.1 per hour.

Battery Modeling Engineer

A123 Systems LLC

Novi, MI • Hybrid

Full-time

Re-posted 28 days ago

Job description

A123 Systems, LLC is a leading developer and manufacturer of advanced lithium-ion battery technologies and energy storage systems. Our solutions serve a wide range of applications, from traditional automotive batteries to utility-scale and commercial amp; industrial (C amp;I) energy storage. Committed to safety, longevity, and energy efficiency, A123 delivers high-performance battery technology solutions with a strong commitment to grow and serve our customers, industry requirements with the goal to make the Air Cleaner.
Position Overview
The Advanced Simulation Technology amp; AI Department at A123 Systems is hiring a Battery Modeling Engineer with the major responsibilities of developing physics-based models for different cell chemistry to understand the aging mechanisms and optimize the cell design, and developing data-driven AI machine learning models to optimize battery cell manufacturing process. Other responsibilities include conducting cell-, module-, and pack-level life simulation for Li-ion battery systems used in electric vehicles, plug-in hybrid electric vehicles, hybrid electric vehicles, energy storage systems, drone and electric vertical take-off and landing.
Primary Responsibilities
  • Develop physics-based models to identify aging mechanisms and optimize cell design.
  • Develop data-driven AI machine learning models to optimize the design of battery cell manufacturing process considering the cell quality control and capital costs.
  • Support NBO and regular life simulation activities through global collaboration.
  • Work in a global team and collaborate with cross-functional team colleagues.
  • Communicate findings to external customers in a positive and constructive manner, and establish/maintain technical communications for any open issues.
Specific Skills/Experience
  • Solid knowledge of electrochemical modeling and battery aging.
  • Solid Knowledge of battery chemistry and battery manufacturing.
  • Excellent experience in modeling of electrochemical systems.
  • Solid knowledge of machine learning, data cleaning, cloud computing, etc.
  • Sophisticated software/programming skills, such as COMSOL, Matlab, Python, etc.
  • Experience with ML libraries, i.e., Tensor Flow, PyTorch, etc.
  • Experience in Li-ion battery modeling and machine learning in industry is a plus.
  • Strongly self-motivated and willingness to learn new knowledge.
  • 0-2 years industry working experience.
Education
  • Ph.D. degree in Engineering, Physics, Math, Statistics, Analytics, etc.

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