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Manufacturing Engineer
Job in
Budd Lake, Morris County, New Jersey, 07828, USA
Listed on 2026-06-26
Listing for:
II-VI UK, Ltd.
Full Time
position Listed on 2026-06-26
Job specializations:
-
Engineering
Lean Manufacturing / Six Sigma, Manufacturing Engineer, Process Engineer, Quality Engineering -
Manufacturing / Production
Lean Manufacturing / Six Sigma, Manufacturing Engineer, Quality Engineering
Job Description & How to Apply Below
Primary Duties & Responsibilities
- Drive manufacturing process improvements for Budd Lake production operations focused on reducing manufacturing variance, absorption variance, and product cost.
- Analyze production data, routings, labor standards, yields, scrap, rework, and capacity utilization to identify and execute margin improvement opportunities.
- Lead cycle time reduction, throughput improvement, and labor content optimization projects for key product families including Sapphire and YVO
4. - Develop, maintain, and improve process documentation including work instructions, routers, travelers, BOMs, process flows, capacity models, and PFMEAs.
- Evaluate and improve material utilization, WIP flow, inventory turns, and production planning alignment to reduce future excess and obsolete inventory exposure.
- Design, qualify, and implement tooling, fixtures, automation, robotics, and error‑proofing solutions to improve safety, consistency, yield, and scalability.
- Apply AI‑enabled tools, analytics, dashboards, and predictive methods to improve process visibility, anomaly detection, standard work adherence, and decision speed.
- Use Lean, Six Sigma, SPC, DOE, root cause analysis, and process capability methods to stabilize processes and deliver measurable results.
- Partner with Operations, Quality, Planning, Supply Chain, Finance, and Engineering to improve routing accuracy, labor absorption, cost models, and production execution.
- Support investigation and resolution of yield losses, scrap, rework, MRB issues, and process escapes with timely corrective and preventive actions.
- Lead validation, qualification, and implementation of new or revised manufacturing processes, equipment, tooling, and control plans.
- Identify, justify, and manage capital and continuous improvement projects that improve throughput, capacity, quality, and gross margin performance.
- Train production personnel on updated processes, automated systems, robotics work cells, AI‑enabled tools, and standard work requirements.
- BS in Manufacturing Engineering, Mechanical Engineering, Industrial Engineering, Materials Science, Optical Engineering, or other relevant technical degree.
- 5+ years' experience in manufacturing engineering, process engineering, industrial engineering, or production operations within a precision manufacturing environment.
- Demonstrated experience reducing manufacturing cost through cycle time reduction, yield improvement, labor efficiency, material utilization, scrap reduction, and routing accuracy.
- Practical knowledge of Lean Manufacturing, Six Sigma, SPC, DOE, FMEA/PFMEA, process capability, root cause analysis, and corrective action methods.
- Experience developing and maintaining manufacturing documentation including routers, travelers, work instructions, BOMs, process flows, standard labor assumptions, and control plans.
- Working knowledge of automation, robotics, machine integration, data acquisition, and manufacturing systems used to improve process repeatability and throughput.
- Proficiency with Microsoft Office tools and data analysis/reporting platforms; ability to interpret ERP/MRP, production, quality, and cost data to drive action.
- Experience supporting optical, crystal, ceramic, sapphire, YVO4, or other precision component manufacturing processes.
- Hands‑on experience implementing automation, robotics, vision systems, AI‑enabled analytics, or machine learning tools in a manufacturing environment.
- Lean Six Sigma Green Belt/Black Belt, SME, ASQ, or equivalent continuous improvement certification.
- Experience building cost models, capacity models, labor standards, OEE/throughput dashboards, or variance reduction scorecards.
- Strong cross‑functional leadership skills with ability to influence Operations, Quality, Planning, Engineering, Supply Chain, and Finance without direct authority.
- Excellent problem‑solving, communication, organization, and follow‑through skills with a bias toward measurable business results.
- Ability to regularly walk throughout manufacturing, assembly, test, coating, polishing, and warehouse areas.
- Ability to stand for extended periods (up to 4–8 hours per day) while…
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