Flex

Process Optimization Engineer (Logistics & Manufacturing)

Flex$75K — $95K *
Manufacturing & Automotive
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in industrial engineering or related field
  • 4+ years of experience as an industrial or process engineer in a warehousing environment, ideally in large manufacturing
  • Industry experience with FI-FO, capacity planning, and inventory management
  • Proficiency in AutoCAD for floor layout design and optimization
  • Experience with capacity analysis, time studies, and labor cost reduction
  • Strong communication skills, capable of engaging with audiences up to director and VP level
  • Experience in leading Continuous Improvement initiatives such as Kaizens and lean events

Responsibilities

  • Provide process time estimation to the quote team
  • Simulate manufacturing workflow using tools like REFA and WITNESS
  • Coordinate process planning during NPI with a focus on takt and cycle times
  • Review prototypes and trial runs, giving feedback on labor standards
  • Examine staff utilization and operational data to enhance efficiency
  • Recommend methods to improve worker efficiency and reduce waste
  • Develop management control systems for financial planning and production control

Benefits

  • Full range of medical, dental, and vision plans
  • Life Insurance
  • Short-term and Long-term Disability
  • Matching 401(k) Contributions
  • Vacation and Paid Sick Time
  • Tuition Reimbursement
Full Job Description
Job Posting Start Date 05-22-2026 Job Posting End Date

Job Summary

NOTE: This position's Internal Job Title is "Industrial Process Engineer"

Position Summary

We are seeking a results-driven Process Optimization Engineer to optimize production and warehouse operations by improving workflows, labor efficiency, and system design. This role plays a critical part in driving throughput, reducing cost, and enhancing operational performance through data-driven analysis, Lean methodologies, and advanced process modeling.

You will partner closely with operations, engineering, and leadership teams to design scalable solutions across manufacturing and distribution environments.

What You'll Do
  • Process Design & Optimization
    • Analyze and improve end-to-end workflows across manufacturing and warehouse operations
    • Conduct time studies and labor modeling to establish accurate standards and drive productivity gains
  • Capacity Planning & Cost Modeling
    • Develop capacity plans, labor models, and cost estimates to support quoting and operational planning
    • Identify constraints and recommend scalable solutions to increase throughput
  • Simulation & Data Analysis
    • Model processes and workflows using tools such as REFA, MOST, WITNESS, or similar simulation software
    • Analyze production data, takt time, cycle time, and utilization metrics to drive decisions
  • New Product Introduction (NPI) Support
    • Lead process planning and line setup for new programs
    • Validate processes during prototyping and pilot runs, and implement improvements
  • Facility Layout & Flow Optimization
    • Design and optimize layouts using AutoCAD to improve material flow, safety (egress, red zones), and space utilization
    • Support warehouse design including SKU flow, FIFO methodology, and inventory staging
  • Continuous Improvement & Lean Initiatives
    • Lead Kaizen events, Lean initiatives, and Six Sigma projects focused on cost reduction and performance improvement
    • Drive initiatives in automation, labor efficiency, and waste elimination
  • Cross-Functional Collaboration
    • Partner with operations, finance, and leadership to implement process improvements
    • Present findings and recommendations to stakeholders up to executive level


What We're Looking For

Required Qualifications
  • Bachelor's degree in industrial engineering or related field
  • 2+ years of experience in industrial/process engineering within:
    • Manufacturing, distribution, or warehouse environments (highly preferred)
  • Strong experience with:
    • Time studies, labor standards, and capacity analysis
    • FIFO inventory flow, SKU management, and inbound logistics
    • Cost modeling and labor cost optimization
  • Proficiency in AutoCAD for facility layout and workflow design
  • Knowledge of safety standards (egress, red zones, etc.)
  • Proven ability to lead continuous improvement initiatives (Lean / Kaizen / Six Sigma)
  • Strong communication and presentation skills with the ability to influence senior stakeholders


Preferred Qualifications
  • Experience in large-scale manufacturing or 3PL/logistics environments
  • Exposure to automation and warehouse systems (WMS, material handling systems, etc.)
  • Lean Six Sigma certification (Green Belt or above)
  • Experience supporting NPI or startup operations


Selling Points About This Role (Candidate-Facing Value Prop)
  • High-impact role driving end-to-end operational efficiency
  • Exposure to both manufacturing and warehouse/logistics operations
  • Opportunity to lead automation and continuous improvement initiatives
  • Strong visibility with leadership and cross-functional teams


JT05

AA01
MS14
CC11

SD20

What you'll receive for the great work you provide:
  • Full range of medical, dental, and vision plans
  • Life Insurance
  • Short-term and Long-term Disability
  • Matching 401(k) Contributions
  • Vacation and Paid Sick Time
  • Tuition Reimbursement

Job Category
Production Engineering

Is Sponsorship Available?
No

About Flex

Flex Ltd. is an American Singaporean-domiciled multinational electronics contract manufacturer. It is the third largest global electronics manufacturing services (EMS), original design manufacturer (ODM) company by revenue, behind only Pegatron for what concerns original equipment manufacturers. Flex has manufacturing operations in over 30 countries, totaling approximately 200,000 employees.
Learn more about Flex
Size
172,648 employees
Market Cap
$9.7 billion
Industry
Net Income
$421 million
Founded
2016
5 Year Trend
+1.8%
Revenue
$23.3 billion
NASDAQ

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