Staff Industrial Engineer: Lean, Automation & Factory Optimization

Flex

Milpitas (CA)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Job summary

Flex is looking for a Staff Industrial Engineer to join our Milpitas, CA campus. You will drive operational excellence across NPI and high-volume production, partnering with cross-functional teams to improve labor efficiency, capacity, and factory design.

The role emphasizes lean manufacturing, data-driven decision-making, and the implementation of Industry 4.0 initiatives, including automation and digital manufacturing. A strong IE, Six Sigma, and analytics background is required.

Qualifications

  • Bachelor’s or master’s degree in industrial, manufacturing, or related engineering.
  • 8+ years of industrial engineering experience in manufacturing.
  • Experience in electronics/EMS/semiconductor preferred.
  • Lean Six Sigma Green Belt or Black Belt preferred.
  • Proven productivity improvement and operational excellence programs.

Responsibilities

  • Develop labor standards using time studies and industrial engineering methods.
  • Lead labor planning and direct labor optimization for manufacturing.
  • Perform line balancing, bottleneck analysis, takt-time optimization.
  • Analyze production data to identify productivity, quality, and cost improvements.
  • Support NPI with production readiness and capacity planning.
  • Lead Kaizen and continuous improvement initiatives across the campus.
  • Partner with Automation teams for automation opportunities and ROI analyses.

Skills

Industrial Engineering
Lean Six Sigma
Data analytics
Project leadership

Education

Bachelor’s/Master’s degree in industrial engineering or related
Lean Six Sigma Green Belt or Black Belt certification

Tools

MOST
REFA
Statistical software

Job description

Flex is looking for a Staff Industrial Engineer to join our Milpitas, CA campus. You will drive operational excellence across NPI and high-volume production, partnering with cross-functional teams to improve labor efficiency, capacity, and factory design.

The role emphasizes lean manufacturing, data-driven decision-making, and the implementation of Industry 4.0 initiatives, including automation and digital manufacturing. A strong IE, Six Sigma, and analytics background is required.

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