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The AME Industrial / Productivity Engineer is responsible for leading productivity improvement initiatives and establishing best practices across Harbinger's automotive manufacturing operations. This critical role focuses on optimizing production efficiency, reducing costs, implementing strategic automation, and driving continuous improvement strategies. They will work closely with cross-functional teams to ensure operational excellence while maintaining high-quality and safety standards.
Job Responsibility:
Develop and implement advanced productivity strategies to enhance manufacturing efficiency and reduce waste
Lead process optimization projects using lean manufacturing, Six Sigma, and Industry 4.0 methodologies
Identify and drive automation opportunities, including robotics and smart manufacturing solutions
Conduct in-depth data analysis, time studies, and capacity planning to optimize resource utilization
Define and monitor KPIs such as OEE, cycle times, labor efficiency, and cost reductions
Collaborate with leadership, production, maintenance, and quality teams to improve overall plant performance
Oversee plant layout changes, equipment upgrades, and implementation of new production technologies
Standardize work procedures and develop best practices to ensure consistency across multiple production lines
Mentor junior engineers and provide technical guidance on process improvement methodologies
Ensure compliance with regulatory standards, company policies, and industry best practices
Drive change management initiatives and foster a culture of continuous improvement
Requirements:
Bachelor’s or Master’s degree in Industrial Engineering, Mechanical Engineering, Manufacturing Engineering, or a related field
7-10+ years in industrial engineering, manufacturing optimization, or process improvement, preferably in the automotive EV or a related high-volume manufacturing industry
Strong expertise in lean manufacturing, Six Sigma, Kaizen, and other continuous improvement methodologies
Proven experience with automation, robotics, and smart manufacturing technologies
Advanced proficiency in CAD software, manufacturing simulation tools, and data analytics
Excellent leadership, problem-solving, and decision-making skills
Strong communication skills with the ability to influence and collaborate across all levels of the organization
Experience with budgeting, cost analysis, and ROI calculations for capital improvement projects
Familiarity with ERP and MES systems (SAP, Oracle, etc.) for manufacturing data analysis
Nice to have:
Six Sigma Black Belt certification
Lean Manufacturing Certification
Certified Industrial Engineer (CIE) or Project Management Professional (PMP)