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Industrial/Manufacturing Engineering

$90k - $117k

Excelitas Technologies

Excelitas is a global technology leader with more than 7,500 employees, focused on delivering market-driven solutions to fulfill the illumination, optical, detection and imaging needs of OEMs and end-users across the biomedical, semiconductor, industrial, consumer products, scientific, security, defense and aerospace sectors.Join the team that leading technology companies turn to for cutting-edge photonic innovation. At Excelitas Technologies you are how we EXCEL.We are presently seeking an Industrial Engineer who will work within operations to support ongoing improvement activities related to the SAP ERP system intended to optimize complex systems and processes resulting in boosted efficiency, cost reduction, and eliminated waste.Industrial Engineering & Capacity OptimizationSpace & Layout Management: Lead facility layout planning, workstation optimization, and space management initiatives to maximize footprint efficiency and smooth material flow.Capacity & Cycle-Time Validation: Develop, maintain, and validate site capacity models and cycle-time standards to identify and eliminate manufacturing bottlenecks.CAPEX Management: Provide data-driven justifications, ROI calculations, and technical engineering support for Capital Expenditure (CAPEX) planning and equipment deployment2. Product Data Management (PDM) & System IntegrityBOM & Routing Accuracy: Own the creation, maintenance, and structural audit of Bills of Materials (BOM) and routing accurate data within the ERP system (SAP).Work Center Management: Set up, configure, and maintain SAP Work Centers, ensuring cost centers and scheduling parameters are precisely defined.Facilitate 4-monthly yield reviews, analyzing systemic variances against physical performance to drive closure on process discrepancies.Drive improvements to all systems supporting product lifecycle management and standard costing, ensuring timely and accurate udpates to business systems.System Simulation: Utilize SAP and simulation data to forecast production impacts, validating process changes before floor deployment.Partner closely with the Continuous Improvement (CI) track to embed Lean methodologies into factory layouts, capacity expansion projects, and digital shop-floor tools.RequirementsEducation & ExperienceEducation: Bachelor’s or Master’s Degree in Industrial Engineering, Mechanical Engineering, or a related technical discipline.Experience: Minimum 4-6 years of experience in a manufacturing or engineering environment, with a proven track record handling both physical factory layouts and digital product data.Technical Skills & CompetenciesERP Proficiency: hands-on experience with SAP (specifically BOM creation, routing management, and Work Center configuration).Engineering Tools: Proficiency in AutoCAD, or Building Information Modeling (BIM) software for space planning and facility layouts.Analytical Capability: Strong expertise in capacity modeling, time-study methodologies, and statistical data analysis.Solid understanding of Lean manufacturing principles (Kaizen, 5S, Value Stream Mapping); a Lean Six Sigma Green or Black Belt is a strong advantage.Soft SkillsMeticulous attention to detail with an uncompromised focus on data integrity.Strong communication and stakeholder management skills to bridge front-end data management with back-end manufacturing operations.Ability to thrive and balance priorities in a lean, agile team environment. .Benefits start day 1: Medical, Dental, Vision, 401K, Holiday Pay, PAID Maternity/Paternity leave, Tuition Reimbursement, Long-term and Short-term disability.LI-FM1 #LI-Onsite#LI-FM1 #LI-OnsitensiteThis position requires the use of information which is subject to the International Traffic in Arms Regulations (ITAR) Visa sponsorship is not available for any position at Excelitas Equal Opportunity/Affirmative Action EmployerMinorities/Females/Disability/Veteran/Gender Identity/Sexual OrientationExcelitas is seeking leaders and innovators to join our global team!

Vacancy posted 2 days ago
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