Engineer I, Assembly Process

The Engineer I will participate in supporting the optimization of sustainable cell process technology. They will develop foundational technical knowledge of the manufacturing process and equipment while contributing to quality assurance, process down (PD) improvement through recipe setting, specification alignment, process capability management and defect improvement.

• →Support process parameter setting and defect improvement work for the battery assembly line
• →Assist with assembly parameter optimization through data-driven experimentation and design of experiments (DOE) execution
• →Support the maintenance and revision of process failure mode and effects analysis (PFMEA), process flow diagrams (PFD), and control plans (CP)
• →Assist in new model introduction and 4M change verification activities
• →Support testing and evaluation of new cell processes and equipment
• →Participate in internal and customer audits and assist with timely response to internal and external quality issues, including root cause analysis and corrective action implementation
• →Collaborate cross-functionally with quality, equipment and production teams to troubleshoot and resolve yield and quality issues in a timely and structured manner
• →Support analysis and improvement of overall equipment effectiveness (OEE) and yield of assigned process and production department
• →Contribute to production process improvements by assisting in the creation of standard operating procedures (SOPs) and training operators to ensure understanding and correct implementation
• →Assist in analysis of cell defect data including process and inspection data to monitor process stability and cell quality
• →Support creation of data visualizations and technical presentations to communicate findings on non-conformance items, drive corrective actions and support decision making across engineering and leadership teams
• →Compliance with health/safety/environmental/fire regulations
• →Perform other duties as assigned

• Bachelor’s degree in engineering or related field, or equivalent, relevant experience
• At minimum 1 year of work experience in a technological or manufacturing field with preference for experience with process technology
• Experience in battery-related work or laser welding is preferred but not required
• Basic understanding of statistical and data analysis to identify trends, abnormal behavior, and early indications of cell failure
• Familiarity with quality systems such as Six Sigma, DOE, and statistical tools.

• Strong written and verbal communication
• Strong attention to detail
• Organizational and multitasking abilities