FAQs
What qualifications are required for the Process Engineer Electrode position?
A Bachelor or Master in any Engineering discipline is required, or equivalent experience demonstrating exceptional ability.
Is experience in battery cell manufacturing necessary for this role?
While experience in a battery cell manufacturing environment is welcomed, it is not strictly necessary.
What types of skills should a candidate possess for this position?
Candidates should possess process engineering skills such as process development/improvement, troubleshooting, data analysis, constraint analysis, flow optimization, and root cause analysis, along with strong team working skills.
What tools and methodologies will I need to be familiar with?
Familiarity with automated equipment systems and tools, as well as structured problem-solving techniques such as Design of Experiments (DoE), Statistical Process Control (SPC), and Measurement Systems Analysis (MSA) is beneficial.
Will I be required to train others in this role?
Yes, the position involves developing and training Process Technicians, as well as assisting in the training of Associates as needed.
Are there opportunities for continuous improvement in this role?
Yes, the role focuses heavily on continuous improvement projects to maximize yield, capacity, and capability in the manufacturing processes.
Does the position involve collaboration with other teams?
Yes, the role requires working with cross-functional teams including Design Engineering, New Product Introduction, and Quality among others.
What is the main goal for the Process Engineer Electrode?
The main goal is to analyze and optimize production processes to ensure safety while maximizing Overall Equipment Effectiveness and achieving world-class quality levels.
Is hands-on work a requirement for this position?
Yes, the ideal candidate should take pride in hands-on work, along with strong analytical and organizational skills.
Will I need to analyze data in this role?
Yes, enabling data-driven operational and financial decisions through predictive insights into tool and process performance is a key responsibility.