Job Description

• Lead analysis and improvement of manufacturing processes to maximize efficiency, throughput, and quality.
• Develop and maintain time studies, line balancing, capacity models, and labor standards.
• Optimize factory layout, material flow, workstation design, and ergonomics.
• Support automation and digital manufacturing initiatives (MES, data analytics, Industry 4.0).

• Drive labor productivity improvements and cost-reduction initiatives.
• Support annual operating plans through capacity planning and headcount modeling.
• Identify bottlenecks and implement sustainable solutions to improve OEE and cycle time.

• Partner with Product Engineering and Operations during NPI to ensure manufacturability and scalability.
• Support DFM/DFA reviews and production ramp readiness.
• Define standard work and process documentation for new lines and products.

• Analyze manufacturing data to identify trends, risks, and improvement opportunities.
• Lead Lean, Six Sigma, and Kaizen initiatives across production and support functions.
• Establish KPIs and dashboards to monitor performance and drive accountability.

• Collaborate with Manufacturing, Quality, Supply Chain, Facilities, and Program Management teams.
• Support root cause analysis and corrective actions for production issues.
• Mentor junior engineers and technicians on industrial engineering best practices.

• Bachelor’s degree in Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, or related field.
• 7+ years of experience in industrial engineering within electronics or high-tech manufacturing.
• Strong knowledge of Lean Manufacturing, Six Sigma, and continuous improvement methodologies.
• Experience with high-mix/high-volume electronics manufacturing (SMT, PCBA, systems integration preferred).
• Proficiency in time studies, capacity planning, line balancing, and labor modeling.
• Strong data analysis skills (Excel, Minitab, Power BI, or similar tools).

• Master’s degree in Industrial Engineering or MBA.
• Lean Six Sigma Black Belt or Green Belt certification.
• Experience supporting automation, robotics, or smart factory initiatives.
• Familiarity with MES, ERP, and manufacturing analytics systems.
• Experience in regulated or quality-critical environments (ISO, IPC, etc.).

• Strong analytical and problem-solving skills
• Hands-on, data-driven mindset
• Ability to influence cross-functional teams
• Excellent communication and presentation skills
• Comfortable working in fast-paced, changing environments