Industrial Engineer
Listed on 2026-08-22
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Engineering
Lean Manufacturing / Six Sigma, Process Engineer, Quality Engineering, Manufacturing Engineer
Job Function
Supply Chain Engineering
Job Sub FunctionProcess Engineering
Job CategoryScientific/Technology
All Job Posting LocationsSanta Clara, California, United States of America
Job DescriptionJohnson & Johnson is recruiting for an Industrial Engineer located in Santa Clara, CA
Position SummaryThe Industrial Engineer will support manufacturing systems, process improvement, capacity planning, and layout design initiatives across New Product Introduction (NPI) and sustaining operations for electro‑mechanical and robotic medical device assembly. Working closely with Manufacturing, Design, Quality, Supply Chain, and Supplier teams, this role will help develop and implement efficient, compliant, and scalable production systems. The Industrial Engineer will apply industrial engineering principles, Lean methodologies, and data‑driven analysis to improve productivity, quality, and operational performance while supporting compliance with applicable medical device regulations and quality system requirements.
Your unique talents will help patients on their journey to wellness. Learn more at
Support industrial engineering activities for NPI and sustaining product lines, including process development, line layout, work cell design, and production flow analysis. Perform takt time, cycle time, capacity, and staffing analyses to support production volume and operational goals. Assist in the development and qualification of manufacturing processes, fixtures, tooling, and automation solutions in collaboration with manufacturing and design engineering teams. Support process characterization studies, Design of Experiments (DOE), process validation (IQ/OQ/PQ), and test method validation activities.
Participate in continuous improvement initiatives focused on cost, quality, throughput, and lead‑time reduction using Lean and Six Sigma methodologies. Conduct time studies, motion studies, value stream mapping, and other industrial engineering analyses to identify opportunities for improvement. Collect, analyze, and report manufacturing performance metrics such as yield, throughput, cycle time, and scrap to support operational decision making. Create and maintain manufacturing documentation including work instructions, process flow diagrams, standard work, process control plans, and engineering change documentation.
Support root cause investigations and implementation of corrective and preventive actions. Collaborate with cross‑functional teams to support product launches, process transfers, and manufacturing readiness activities. Assist with manufacturing data collection and reporting systems, including ERP, MES, and PLM platforms.
Bachelor of Science degree in Industrial Engineering, Mechanical Engineering, Manufacturing Engineering, or related technical field required. Master’s degree in Industrial or Manufacturing Engineering preferred.
Experience and Skills- 2-4 years of industrial, manufacturing, or operations engineering experience in a regulated or high‑volume manufacturing environment.
- Knowledge of industrial engineering fundamentals including time studies, line balancing, capacity planning, labor analysis, and process flow optimization.
- Experience supporting manufacturing process development, validation activities, or continuous improvement projects.
- Familiarity with Lean Manufacturing principles, including 5S, visual management, standardized work, and waste reduction techniques.
- Basic understanding of statistical analysis methods including SPC, capability studies, and problem‑solving methodologies.
- Experience creating or maintaining manufacturing documentation such as work instructions, standard operating procedures, and process flow documentation.
- Ability to read and interpret engineering drawings, schematics, and bills of material.
- Strong analytical and problem‑solving skills.
- Effective verbal and written communication skills and ability to work effectively in cross‑functional teams.
- Proficiency with Microsoft Excel and other data analysis tools.
- Familiarity with CAD software for layout development and manufacturing visualization is preferred.
- Preferred Experience with in a medical device,…
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