ZipRecruiter

Log In

1

Industrial Engineering Jobs (NOW HIRING)

HumCap, Inc.

Industrial Engineering Leader

Plano, TX

$67K - $90K/yr

Industrial Engineering Leadership * Lead and manage the Industrial Engineering (IE) team to support daily manufacturing operations and long‑term capacity planning. * Establish IE priorities ...

Nord

Industrial Engineering Manager

Waunakee, WI · On-site

Description Industrial Engineering Manager Responsiblities Defined: * Responsible for developing Production Processes that comply with NORD assembly and machining methods, developing standards for US ...

Stellantis

Industrial Engineering Supervisor

Dundee, MI · On-site

Supervise the plant Industrial Engineers in their day-to-day activities including but not limited to; Line speed, Cycle Checks, Scrolls, Man-Assignments, Standardized Work, Line Balance, Productivity ...

next page

Showing results 1-20

All JobsIndustrial Engineering Jobs

Industrial Engineering information

See salary details

$36K

$83.5K

$116K

How much do industrial engineering jobs pay per year?

As of Aug 10, 2026, the average yearly pay for industrial engineering in the United States is $83,498.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $94,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an industrial engineer, and why are they important?

To thrive as an Industrial Engineer, you need strong analytical skills, a solid grasp of process optimization, and a bachelor's degree in industrial engineering or a related field. Familiarity with tools like AutoCAD, Six Sigma methodologies, and ERP systems, as well as relevant certifications such as Lean Six Sigma Green Belt, are typically required. Excellent problem-solving abilities, teamwork, and effective communication distinguish top performers in this role. These competencies are crucial for designing efficient systems, reducing costs, and improving productivity in various industries.

What is industrial engineering?

Industrial engineering is a branch of engineering focused on optimizing complex processes, systems, or organizations by improving efficiency, productivity, quality, and safety. Industrial engineers analyze workflows, design efficient systems, and integrate people, materials, information, and technology to streamline operations. Their work is applicable in various industries, including manufacturing, healthcare, logistics, and service sectors. By reducing waste and improving processes, industrial engineers help organizations save time and resources.

What is the difference between Industrial Engineering vs Mechanical Engineering?

AspectIndustrial EngineeringMechanical Engineering
Required CredentialsBachelor's in Industrial Engineering or related field; often professional certificationsBachelor's in Mechanical Engineering; licensure may be required for certain roles
Work EnvironmentManufacturing, healthcare, logistics, consultingDesign, manufacturing, automotive, aerospace
Industry UsageOptimizing processes, systems, and operationsDesigning mechanical systems, product development

Industrial Engineering focuses on improving processes and systems across various industries, while Mechanical Engineering emphasizes designing and developing mechanical devices and systems. Both fields share some credentials and work environments but serve different core functions in the industry.

What is industrial engineering?

Industrial engineering is an engineering specialty that combines physical and social sciences with engineering principles. This field of engineering focuses on analyzing and optimizing manufacturing production processes to create more productive and profitable systems. Industrial engineers research a system’s current state, design improvement plans, and eliminate any waste of manpower, energy, money, and materials.

How does an industrial engineer typically collaborate with other departments to improve operational efficiency?

Industrial engineers often work closely with teams in production, quality assurance, logistics, and IT to identify bottlenecks and streamline processes. They may lead cross-functional meetings to analyze workflow data, gather input from various stakeholders, and implement process improvements that benefit multiple departments. Strong communication skills and a collaborative mindset are essential, as industrial engineers must translate technical findings into actionable recommendations and ensure alignment with broader organizational goals.
More about Industrial Engineering jobs
What cities are hiring for Industrial Engineering jobs? Cities with the most Industrial Engineering job openings:
What are the most commonly searched types of Industrial Engineering jobs? The most popular types of Industrial Engineering jobs are:
Who are the top companies hiring for Industrial Engineering jobs? The top employers for Industrial Engineering jobs are:
What states have the most Industrial Engineering jobs? States with the most job openings for Industrial Engineering jobs include:
What job categories do people searching Industrial Engineering jobs look for? The top searched job categories for Industrial Engineering jobs are:
Industrial Engineering jobs near you
Infographic showing various Industrial Engineering job openings in the United States as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $83,498 per year, or $40.1 per hour.

Industrial Engineering

American Tech Vision Solutions LLC

Pittsburgh, PA • On-site

$65K - $88K/yr

Other

Re-posted 17 days ago

Job description

Job Title: Industrial Engineering Analytics Engineer (Manufacturing Systems & Modeling)

Location: Pittsburgh, PA (Onsite)

Positions: 2

Required Skills:

  1. Greenfield or brownfield project experience (good to have)
  2. Equipment planning
  3. Capacity planning
  4. Labour planning
  5. CAPEX management (good to have)
  6. Supplier validation
  7. Capital investments ROI, IRR, NPV, and cost-benefit analysis
  8. Design and maintain OEE models
  9. Support factory ramp-up, installation, and operational readiness through model validation and performance tracking
  10. Material planning
  11. PFMEA
  12. Lean Manufacturing
  13. Six Sigma
  14. Layout planning (good to have)
  15. Simulation tools experience (not mandatory)
  16. Strong expertise in Excel
  17. Knowledge of AI-driven tools (good to have)

JD:

The Industrial Engineering Analytics Engineer will lead the development and application of advanced analytical models to drive manufacturing efficiency, capacity planning, and cost
optimization.

This role is responsible for building and managing integrated IE models that connect capacity, labor, material flow, PFEP, and cost (COGS) to enable data-driven decisionmaking across factory and site operations.

The ideal candidate will combine strong industrial engineering fundamentals with advanced analytics, simulation, business case development, and AI-driven systems to support large-scale manufacturing environments.

Role Overview:

The Industrial Engineering Analytics Engineer will lead the development and application of advanced analytical models to drive manufacturing efficiency, capacity planning, and cost optimization.

This role is responsible for building and managing integrated IE models that connect capacity, labor, material flow, PFEP, and cost (COGS) to enable data-driven decision making across factory and site operations. The ideal candidate will combine strong industrial engineering fundamentals with advanced analytics, simulation, business case development, and AI-driven systems to support large-scale manufacturing environments.

Key Responsibilities

Develop and own integrated IE models that connect capacity, labor, material flow, PFEP, and cost (COGS) to support factory planning and operations

Build and maintain capacity models (target vs. forecast vs. gated capacity), incorporating cycle time, OEE, yield losses, and bottleneck analysis

Develop labor models to optimize headcount, utilization, and labor cost (LOH) across production systems

Create and evaluate business cases for capital investments, including ROI, IRR, NPV, and cost benefit analysis

Lead COGS modeling, including labor, overhead, scrap, and process-driven cost components

Develop and track scrap and yield models, quantifying cost impact and identifying improvement opportunities

Design and maintain OEE models (availability, performance, quality) to drive operational efficiency and continuous improvement

Perform buffer and WIP analysis to optimize inline and interline storage, reduce bottlenecks, and stabilize production flow

Develop process flow diagrams (PFDs) and value stream maps to represent manufacturing systems and identify inefficiencies

Integrate PFEP (Plan for Every Part) data into models to optimize material flow, storage, and line-side delivery strategies

Support factory layout, site planning, and material flow decisions through data-driven insights and modeling

Perform scenario analysis and sensitivity studies to evaluate production strategies and capacity expansion plans

Utilize and/or develop factory simulation models (e.g., FlexSim, AnyLogic, Simio) to analyze throughput, bottlenecks, and system performance

Support factory ramp-up, installation, and operational readiness through model validation and performance tracking

Collaborate with cross-functional teams (Manufacturing, Operations, Supply Chain, Finance,

Engineering) to align models with real-world constraints and business needs

Translate complex analytical outputs into clear, executive-level insights and recommendations

Collaborate with MES and Controls teams to integrate shop-floor data with IE models, ensuring accurate OEE measurement and enabling real-time, scalable dashboards for operational visibility and executive decision-making

AI & Data Systems

Introduce and implement AI-driven tools and platforms to enhance industrial engineering analytics and decision-making

Design and manage scalable data models and data architecture for IE, capacity, labor, PFEP,and cost analytics

Develop standardized systems, frameworks, and governance for data modeling, analytics, and reporting

Automate data collection, validation, and reporting pipelines using AI and advanced analytics tools

Enable predictive analytics and intelligent decision-making for capacity, throughput, and cost optimization

Establish best practices for data quality, model standardization, and system integration across the organization

Basic Qualifications

Bachelor's degree in Industrial Engineering, Mechanical Engineering, Operations Research, or a related field 7+ years of experience in industrial engineering analytics, manufacturing modeling, or operations analysis

Strong understanding of manufacturing systems, capacity planning, and industrial engineering principles

Preferred Qualifications

Experience building end-to-end IE models integrating capacity, labor, cost, PFEP, and material flow

Proficiency in capacity modeling, OEE analysis, cycle time studies, and line balancing

Hands-on experience with PFEP, material flow optimization, and warehouse integration

Experience with factory simulation tools (e.g., FlexSim, AnyLogic, Simio)

Strong experience in business case development (ROI, IRR, NPV)

Knowledge of COGS modeling, cost structures, and financial impact analysis

Experience with data analysis tools (Excel advanced modeling, Python, SQL, Power BI/Tableau, or similar)

Familiarity with AI/ML applications in manufacturing analytics (preferred)

Familiarity with lean manufacturing and continuous improvement methodologies

Key Skills & Competencies

Strong analytical and problem-solving skills with a data-driven mindset

Ability to build scalable models and analytics systems that support both tactical and strategic decisions

Strong communication skills to translate complex data into actionable insights

Ability to work across cross-functional teams and influence decision-making

Attention to detail with a systems-level understanding of manufacturing operations

Ability to manage multiple projects and priorities in a fast-paced environment

Apply