Industrial Engineer: Lean Production & Time Studies (Redmond)

Actalent; Washington; On-site; USD 69,000 - 90,000; Full time

Benefits offered by this job

Medical, dental & vision

401(k) Retirement Plan – Pre-tax and R

Life Insurance (Voluntary Life & AD&D)

Short and long-term disability

HSA

Transportation benefits

Employee Assistance Program

Time Off/Leave (PTO, Vacation or Sick)

Job summary

Actalent is seeking an Industrial Engineer to join its Satellite Hardware Manufacturing Team in Redmond. The role focuses on performing time and motion studies, building data-driven models for labor, cycle time and capacity, and supporting Lean Manufacturing adoption across production cells.

The candidate will help design efficient work cell layouts and enable better investment decisions through analytical performance data.

Qualifications

• Experience in a manufacturing or factory setting.
• Proficiency in AutoCAD and Microsoft Visio.
• Experience modeling and analyzing production processes, including cycle time analysis, OEE calculation, and capacity analysis.
• Experience performing Time Studies.
• Experience with space flight hardware manufacturing.
• Experience with production simulation (Simio).

Responsibilities

• Perform time and motion studies and report on key findings.
• Build and maintain industrial models for labor, cycle time, and capacity of production processes.
• Capture, summarize, and report on equipment availability data and production performance data, highlighting key actions and opportunities for improvement.
• Develop detailed work cell layouts to optimize material motion.
• Drive Lean Manufacturing improvement activities such as shadow-board development for 5S of work cells and facilitation.

Skills

Time studies

OEE analysis

Cycle time analysis

Production modeling

Space flight hardware

Tools

AutoCAD

Microsoft Visio

Simio

Job description

Actalent is seeking an Industrial Engineer to join its Satellite Hardware Manufacturing Team in Redmond. The role focuses on performing time and motion studies, building data-driven models for labor, cycle time and capacity, and supporting Lean Manufacturing adoption across production cells.

The candidate will help design efficient work cell layouts and enable better investment decisions through analytical performance data.