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Battery Cell Process Engineer Jobs (NOW HIRING)

As a Battery Cell Engineer at Gotion Inc, you will play a pivotal role in leading the engineering decisions for new battery cell designs in collaboration with US OEM customers and our internal cell ...

Senior Cell Engineer

San Jose, CA · On-site

$122.50K - $168.20K/yr

We are seeking an experienced and highly skilled Senior Lithium-Ion Battery Cell Engineer to play a ... Hands-on experience with battery fabrication, testing, and manufacturing processes. * Exceptional ...

Execute lithium-ion battery cell tests including electrical, mechanical, and electrochemical ... Collaborate with data engineers to process data, maintain cell testing database and develop ...

Execute lithium-ion battery cell tests including electrical, mechanical, and electrochemical ... Collaborate with data engineers to process data, maintain cell testing database and develop ...

Execute lithium-ion battery cell tests including electrical, mechanical, and electrochemical ... Collaborate with data engineers to process data, maintain cell testing database and develop ...

Product Design Engineer - Battery Cell

Cupertino, CA · On-site

$159.20K - $191.20K/yr

As part of our Battery Engineering group, you'll help craft creative battery solutions that deliver ... Participates in the development of manufacturing processes with multi-functional teams and external ...

Define process parameters for welding, joining, and bonding operations for battery modules ... Collaborate with R&D on cell selection, pack configuration, and system integration. * Production ...

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Battery Cell Process Engineer information

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$49.5K

$92K

$142.5K

How much do battery cell process engineer jobs pay per year?

As of Jun 3, 2026, the average yearly pay for battery cell process engineer in the United States is $92,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $103,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Battery Cell Process Engineer, you need a strong background in chemical engineering, materials science, or a related field, often supported by a relevant degree. Familiarity with manufacturing process control systems, statistical process control (SPC), and software like MATLAB or AutoCAD is typically required. Critical thinking, attention to detail, and effective teamwork are standout soft skills in this role. These competencies ensure efficient, high-quality battery production and continuous process optimization in a highly technical and safety-focused environment.

What are some common challenges Battery Cell Process Engineers face in scaling up production from prototype to mass manufacturing?

Battery Cell Process Engineers often encounter challenges when transitioning from prototype development to large-scale manufacturing, such as maintaining product consistency, optimizing process parameters, and minimizing yield losses. Ensuring strict quality control while ramping up production volumes requires close monitoring of variables like temperature, humidity, and material purity. Collaborating closely with R&D, quality assurance, and production teams is essential to quickly troubleshoot issues and implement process improvements, making adaptability and communication key skills for success in this role.

What does a Battery Cell Process Engineer do?

A Battery Cell Process Engineer is responsible for developing, optimizing, and overseeing the manufacturing processes involved in making battery cells, such as those used in electric vehicles and consumer electronics. They work to improve efficiency, quality, and safety in production lines, often collaborating with design, quality, and production teams. Their role includes troubleshooting process issues, implementing new technology, and ensuring that the batteries meet performance and reliability standards.
Battery Modeling Engineer

Battery Modeling Engineer

A123 Systems

Novi, MI • Hybrid

Full-time

Posted 16 days ago


Job description

Battery Modeling Engineer

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.