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Industrial Engineer

Broadcom

Breinigsville, PAFull-time$91–146K/yrSeen 3 days agoSeen in employer's feed 3 days ago

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At a glance

Compensation
$91–146K/yr
Location
Breinigsville, PA
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Broadcom seeks an experienced Industrial Engineer for its high-volume manufacturing facility in Breinigsville, Pennsylvania. The role focuses on improving manufacturing workflows, yield, throughput predictability, and fab capacity through operations analysis, lean manufacturing, data science, and dynamic modeling. The engineer will develop operational controls and models to support continued production scaling and collaborate with supervisors, process engineers, and fab management.

Skills & qualifications

RequiredNice to have

Skills

Lean Manufacturing, required5S, requiredKanban, requiredLine Balancing, requiredTime and Motion Studies, requiredDashboard Development, requiredCapacity Modeling, requiredTrigger Systems, requiredPredictive Analytics, requiredJMP, requiredTableau, requiredSQL, requiredPython, requiredExcel, requiredArtificial Intelligence, requiredPower BI, requiredCleanroom Operations, nice to haveElectronics Manufacturing, nice to haveSemiconductor Wafer Fab Processes, nice to haveAnalytical Ability, requiredVerbal Communication, requiredWritten Communication, required

Qualifications

Bachelor's in Industrial Engineering, Operations Research, Mechanical Engineering, or Related Field or Master's Degree, required5+ Years Relevant Experience With Bachelor's, required3+ Years Experience With Master's, required

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off
Parental Leave

Full job description

USA-Pennsylvania-Breinigsville-9999 Hamilton Blvd

Full time

R027570

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Job Description:

Job Overview

Broadcom is seeking an experienced Industrial Engineer to leverage operations analysis, lean manufacturing techniques, and data science to optimize manufacturing workflows, improve yield, and scale fab capacity. Located at our 24/7 high-volume manufacturing facility in Breinigsville, PA, this role will address dramatically increasing production volumes and operational complexities.

The primary objective of this role is to establish higher predictability for factory outs and throughput, design operational execution controls, and build robust dynamic models to support continuous fab scaling

Key Responsibilities

  • Operations Analysis & Time Studies: Conduct rigorous operational research, process flow assessments, and time studies to identify line constraints, eliminate bottlenecks, and standardize cycle times across manufacturing areas.

  • Lean Manufacturing & Continuous Improvement: Lead the implementation of Lean manufacturing methodologies, 5S workplace organization, Kaizen initiatives, and Kanban pull systems to reduce waste and streamline Work-In-Progress (WIP) movement

  • Throughput & Out Predictability: Drive initiatives to significantly increase predictability for production outs and line throughput amid rising product volumes and operational complexities.

  • Capacity & Simulation Modeling: Generate, maintain, and refine capacity models and discrete-event process simulations to forecast tool utilization, product cycle times, and output limits.

  • Trigger Charts & Operational Visualizations: Design and deploy visual trigger charts, operational dashboards, and run/wait/hold metrics to provide actionable real-time feedback to shift supervisors and engineering teams.

  • Data Integration & Analytics: Extract and compile operational datasets from SECS/GEM equipment interfaces, MES, and databases to analyze throughput variations and build predictive control metrics.

  • Cross-Functional Leadership: Collaborate with production supervisors, process engineers, and fab management from project inception through maturity to execute throughput enhancement projects.

Required Qualifications & Experience

  • Education: Bachelor’s degree in Industrial Engineering, Operations Research, Mechanical Engineering, or a related field with 5+ years of relevant experience, or a Master’s degree with 3+ years of experience.

  • Industrial Engineering Core: Demonstrated track record applying Lean manufacturing, 5S, Kanban systems, line balancing, and time/motion studies within a high-volume manufacturing environment.

  • Modeling & Analytics Skills: Proven capability in building dashboards, capacity models, trigger systems, and predictive tools using analytical software (e.g., JMP, Tableau, SQL, Python, Excel, AI, PowerBI).

  • Industry Domain Knowledge: Familiarity with cleanroom operations, electronics manufacturing, or semiconductor wafer fab processes is strongly preferred.

  • Problem Solving & Communication: Strong analytical abilities to interpret complex manufacturing data alongside excellent verbal and written communication skills for cross-functional reporting.

Keywords

Industrial Engineering, Lean Manufacturing, Kanban, 5S, Time Studies, Operations Analysis, Throughput Predictability, Capacity Modeling, Trigger Charts, Run/Wait/Hold, Cleanroom, Semiconductor, Wafer Fab, JMP, SQL, Tableau, Python, Broadcom.

Compensation and Benefits

The annual base salary range for this position is USD 91,100.00 To USD 146,000.00

As a valued member of our team, you'll be eligible for a discretionary annual bonus and the opportunity to receive not only a competitive new hire equity grant, but also annual equity awards, connecting your success directly to the company's growth. All subject to relevant plan documents and award agreements.

Broadcom offers a competitive and comprehensive benefits package: Medical, dental and vision plans, 401(K) participation including company matching, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company paid holidays, paid sick leave and vacation time. The company follows all applicable laws for Paid Family Leave and other leaves of absence.

Broadcom is proud to be an equal opportunity employer. We will consider qualified applicants without regard to race, color, creed, religion, sex, sexual orientation, national origin, citizenship, disability status, medical condition, pregnancy, protected veteran status or any other characteristic protected by federal, state, or local law. We will also consider qualified applicants with arrest and conviction records consistent with local law.

If you are located outside USA, please be sure to fill out a home address as this will be used for future correspondence.

Welcome! Thank you for your interest in Broadcom!

We are a global technology leader that designs, develops and supplies a broad range of semiconductor and infrastructure software solutions.

For more information please visit our video library (http://www.broadcom.com/videos) and check out our Connected by Broadcom (https://www.broadcom.com/support/resources/video-webinar-library?channel=5c9658f7c1d34eca91c6cc16178e5b1b&video=7d72b04ea50046a394e682fab640ce20) series.

Follow us on Linked In Broadcom Inc (https://www.linkedin.com/company/broadcom) .

How this job compares

Set against the 846 open Industrial Engineer jobs on Olive Jobs, counted November 10, 2026.

Pay
  • This posting$91–146K/yr
  • Pennsylvania median$86–129K/yr20 salary ranges
  • US median$87–139K/yr503 salary ranges

This range's midpoint, $119K, is 9% above the Pennsylvania median midpoint ($109K) — in the middle half of Industrial Engineer salary ranges in Pennsylvania.

Openings
Olive Jobs lists 43 open Industrial Engineer jobs in Pennsylvania and 846 across the US. 2% of them nationwide are listed as remote or flexible.
Hiring the most in Pennsylvania
Experience
This posting asks for at least 3 years of experience; Industrial Engineer postings that state a minimum ask for 3 years at the median (650 postings).
Education
507 of the 846 open Industrial Engineer jobs (60%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 10, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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