Senior Prismatic Formation Engineer (M/F)

About this role:

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We are currently looking for Senior Prismatic Formation Engineer to join our Process Development Department, more especially our Prismatic Development Team.
As such, you are responsible for the systems related to Formation processes. The role will evolve from planning the Gigafactory line to then setting it up. You are embracing the objective of building and structuring Verkor as the most advanced battery manufacturing company in the world.
This role is located at our Innovation Center in Grenoble, France.

Responsibilities:

• Conducting research and development work for battery cell formation and testing process to improve cell formation process on safety, quality, and productivity with the pilot line and engineering workshop.
• Analyzing and evaluating battery cell electrical performance data collected in laboratory experiments and pre-production operations to determine direct and interaction effects of the formation equipment and processes under evaluation.
• Performing root cause analysis to systematically identify and fix sources of defects.
• Providing engineering support to the battery cell formation team and cell assembly production team to resolve manufacturing process issues.

Requirements:

• Evidence of exceptional ability. Verkor follows a culture of full-cycle engineering where members will have full responsibility and accountability for their projects from start to finish. We are looking for the best of the best.
• >10 years of experience working with lithium-ion cell technology.
• Experience in the battery manufacturing environment, particularly with lithium-ion battery cell formation and/or testing.
• Experience with battery cell formation process design and its influence on SEI analysis in the laboratory.
• Experience with root cause analysis, defect reduction, and failure analysis.
• Strong programming, statistical, and data analysis skills with tools such as Python, Matlab, and Minitab.
• Machine learning experience, such as PyTorch, Keras, TensorFlow, and Scikit-learn.
• Experience in electrochemical and materials analysis using EIS, HPPC, SEM, EDX, and other characterization techniques.
• Preferred: M.S. in Electrical/Electrochemical/Materials Engineering or similar discipline.