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Battery Modeling Engineer Jobs (NOW HIRING)

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 ...

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 ...

EnerVenue

Battery Modeling Engineer

Fremont, CA · On-site

... system engineering teams Qualifications * MSc with 3-6 years of relevant experience in battery modeling or physical system simulation OR • PhD in Chemistry, Applied Mathematics, Physics ...

Apple

Battery Algorithm Software Engineer

Cupertino, CA

$139.50K - $258.10K/yr

Description The BMS team is looking for battery algorithm software engineer to design and develop ... modeling and control theory Debugging skills to tackle challenging problems Ability to ...

Apple

Battery Algorithm Software Engineer

Cupertino, CA

$147.40K - $272.10K/yr

Description The BMS team is looking for battery algorithm software engineer to design and develop ... modeling and control theory Debugging skills to tackle challenging problems Ability to ...

Peak Energy

Systems Modeling Engineer, ESS

Burlingame, CA · On-site

$170K - $230K/yr

Systems Modeling Engineer Location: Burlingame, CA Department: ESS Engineering Reports To: Senior ... Familiarity with high voltage battery systems or power electronics * Experience with design and ...

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Battery Modeling Engineer information

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$71K

$115.4K

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How much do battery modeling engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for battery modeling engineer in the United States is $115,418.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,000.00 and $130,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Battery Modeling Engineer, and why are they important?

To thrive as a Battery Modeling Engineer, you need a strong background in electrochemistry, physics, and advanced mathematics, typically supported by a degree in engineering or a related field. Proficiency in simulation tools such as COMSOL Multiphysics, MATLAB, and Python, along with familiarity with battery management systems, is essential. Strong problem-solving skills, attention to detail, and effective communication help you collaborate and solve complex battery performance challenges. These skills are crucial for designing accurate models that drive innovation and efficiency in battery technology.

How does a Battery Modeling Engineer typically collaborate with cross-functional teams in the development process?

Battery Modeling Engineers frequently work alongside electrochemists, hardware engineers, and data scientists to develop and refine battery systems. They translate experimental data and design requirements into simulation models, ensuring alignment between theoretical predictions and real-world performance. Effective communication and regular meetings are essential, as Battery Modeling Engineers often provide critical insights that inform design decisions, troubleshooting, and optimization of battery performance. This collaborative environment fosters innovation and helps accelerate product development cycles.

What are Battery Modeling Engineers?

Battery Modeling Engineers are professionals who design, develop, and optimize mathematical models that simulate the behavior and performance of batteries. They use these models to predict battery life, efficiency, safety, and performance under various conditions, helping to improve battery technology for applications like electric vehicles, consumer electronics, and renewable energy storage. Their work often involves collaborating with chemists, electrical engineers, and software developers to create accurate simulations and guide the development of new battery technologies.

What is the difference between Battery Modeling Engineer vs Battery Test Engineer?

AspectBattery Modeling EngineerBattery Test Engineer
CredentialsDegree in Electrical, Mechanical, or Chemical Engineering; knowledge of modeling softwareDegree in Electrical, Mechanical, or Chemical Engineering; experience with testing equipment
Work EnvironmentDesign labs, simulation environments, R&D departmentsTesting labs, quality assurance, product validation
Industry UsageBattery development, simulation, and optimizationProduct testing, validation, and quality control
Search/Comparison IntentFocus on modeling and simulation skillsFocus on testing procedures and validation processes

The main difference between a Battery Modeling Engineer and a Battery Test Engineer lies in their focus areas. The Battery Modeling Engineer specializes in creating simulations and models to predict battery performance, while the Battery Test Engineer conducts physical tests to validate battery quality and safety. Both roles are essential in battery development but serve different stages of the product lifecycle.

More about Battery Modeling Engineer jobs
What cities are hiring for Battery Modeling Engineer jobs? Cities with the most Battery Modeling Engineer job openings:
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Battery Modeling Engineer jobs near you
Infographic showing various Battery Modeling Engineer job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 93% Full Time, and 6% Part Time. Highlights an 80% Physical, and 20% Remote job distribution, with an average salary of $115,418 per year, or $55.5 per hour.
Battery Modeling Engineer

Battery Modeling Engineer

A123 Systems Corp.

Novi, MI • On-site

Full-time

Posted 13 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 & industrial (C&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 & 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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