Battery Manufacturing Engineer

Role details

Role –

Battery Manufacturing Engineer

Location

Liberty, NC

Duration

: 12 Months

Expectations and possible candidates

Knowledge in battery chemistry and trials to confirm materials

Knowledge in battery manufacturing process and problem-solving

Trial management and KPI confirmation

Evaluation of cell performance using analytical tools and quality functions

Industries with compatible

Battery and automotive engineers

Chemical and material engineers

Quality for batteries, semiconductors, and chemical materials

Battery Manufacturing Engineering & Battery Cell Department is looking for a passionate and highly motivated engineer to join our Ryohin Joken (Conditions for Good Process and Product) advancement and problem-solving group.

Reporting to Engineering Manager, the person in this role will support the Battery Cell Department's mission to deliver engineering solutions for rapid competitiveness improvements through safety first, people development, and customer focus.

The primary responsibility of this role is leading planning and problem-solving efforts in pre-production trial activity.

Utilizing and improving systems & procedures for efficient and effective issue identification, root cause analysis, issue resolution, reoccurrence prevention/kaizen to subsequent activity and projects, and project management of trials.

This role will also contribute to the success of developing organization’s capabilities through advancement & application of Ryohin Joken knowledge and skill.

What you’ll be doing

• Leader of cross-functional team collaborating with equipment
• Engage and resolve material, product, and process issues both internal and external
• Create and implement working/trial plan for confirmation & problem-solving activity using Business Practice methods or equivalent Lean practices
• Create detail technical and summary reports for organizational learning and development
• Input to process & equipment plan/specification for kaizen & issue reoccurrence prevention
• Use and advancement of systems and procedure for problem solving & learning capture
• Individual activity management, status visualization/reporting, and incremental reflection
• Lead internal & external partner relationships aligning to team objectives, development, and support
• Activity related to PE-BME Department-level Hoshin/ overall direction for organizational advancement
• Individual support for standardization & kaizen (continuous improvement) of Department systems and processes
• Mentor and Teach other members in the team on battery knowledge, trial planning and execution, data analysis.
• Drive own individual development, seek feedback, and monitor progress

What you bring

• Bachelor’s Degree or higher in Engineering or similar technical field
• 3+ years of equivalent Engineering role experience in a manufacturing environment.
• Experience in manufacturing production preparation role and schedule/deliverable management including stages of project plan, process/equipment plan, specification & procurement, installation and trial.
• Experience in winding, cell assembly & electrolyte fill on automotive cells (2+ years, 5+ years Preferred)
• Experience in battery cell product, processes/equipment, and/or trial activity.
• Experience in activity of Ryohin Joken identification, application, and/or confirmation.
• Experience coordinating with varied functions in large corporate organization, including production engineering, manufacturing, research & development, and Quality, or similar, and reporting out to senior leadership level.
• Experience in interpreting & applying product/process specification, drawing and data, etc. including new material introduction and validation and change point management and confirmation
• Experience in product x process/equipment simultaneous engineering for new model
• Experience in manufacturing plant production operations role
• Experience in data analytics tools and methods
• Experience in digital engineering software tools and procedures, including the ability to read, interpret and modify model data