Senior Industrial Engineer

Our client is seeking an experienced and analytical Senior Industrial Engineer to improve manufacturing performance, increase production capacity, optimize material flow, and enhance on-time delivery through industrial engineering and continuous improvement methodologies.

In this role, you will partner with Operations, Manufacturing Engineering, Supply Chain, Quality Assurance, and Program Management to analyze factory performance, identify operational constraints, and implement sustainable improvements. You will lead Lean and Six Sigma initiatives, develop data-driven recommendations, and improve productivity, labor utilization, safety, quality, and overall manufacturing efficiency.

This position is ideal for a senior industrial engineering professional who excels at solving complex manufacturing challenges, leading cross-functional improvement projects, and using operational data to drive measurable business results.

Founded in 1878, our client designs, develops, and manufactures gas generation systems, precision compressor solutions, and cryogenic cooling technologies for critical applications in Marine, Aerospace, Land, Energy, Industrial, Medical, and Critical Infrastructure markets.

Headquartered in Benicia, California, our client also operates facilities in Sparks, Nevada..

• Design and optimize factory layouts, production cells, workstations, and equipment placement to improve throughput, space utilization, safety, and production efficiency.
• Analyze and improve material flow, work-in-process movement, point-of-use storage, replenishment methods, and material presentation to reduce handling, unnecessary travel, and production delays.
• Lead capacity planning, labor modeling, line balancing, and constraint analysis to support current and forecasted production requirements.
• Conduct time studies and work measurement activities to establish and maintain labor standards and support the development of standard work.
• Analyze work-in-process, queue times, production sequencing, manufacturing lead times, and operational data to improve production flow and on-time delivery.
• Lead Lean Manufacturing, Six Sigma, value stream mapping, 5S, waste reduction, and other continuous improvement initiatives.
• Develop, monitor, and maintain key performance indicators (KPIs) related to safety, quality, delivery, cost, productivity, and continuous improvement.
• Utilize Power BI to develop dashboards, visualize manufacturing performance, monitor KPIs, and communicate actionable insights to operational teams and leadership.
• Evaluate workstation design, operator movement, and ergonomics to improve employee safety, efficiency, and ease of work.
• Provide capacity, labor, space, utilization, and operational analyses to support new product introduction, capital equipment purchases, automation, and facility planning.
• Support production recovery and contingency planning through capacity, labor, constraint, and production-flow analysis.
• Develop business cases and recommendations for process improvements, capital investments, and operational changes, including cost-benefit analysis and return on investment.
• Partner with Operations, Manufacturing Engineering, Supply Chain, Quality Assurance, and Program Management to implement and sustain operational improvements.
• Support compliance with AS9100, customer, regulatory, and internal quality-system requirements.
• Promote accountability, collaboration, and data-driven decision-making across departments and facilities.
• Build collaborative working relationships across functions and facilities while leading with humility, integrity, and trust.
• Promote ownership, employee engagement, and continuous learning throughout the organization.
• Effectively communicate improvement initiatives, process changes, expectations, and project results to employees and leadership.
• Perform additional duties in support of our client's manufacturing and operational excellence initiatives.

• Bachelor of Science degree in Industrial Engineering or a related engineering discipline from an accredited college or university.
• Minimum of 6 years of industrial engineering, manufacturing engineering, operations, or continuous improvement experience within a manufacturing environment.
• Demonstrated experience using Microsoft Power BI to develop dashboards, visualize operational data, track KPIs, and communicate actionable insights.
• Demonstrated experience with capacity planning, labor modeling, time studies, work measurement,…