Career card

Industrial Engineers

Also called: Engineer, Industrial Engineer, Process Engineer, Project Engineer

Design, develop, test, and evaluate integrated systems for managing industrial production processes, including human work factors, quality control, inventory control, logistics and material flow, cost analysis, and production coordination.

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Median pay BLS, 2025$102,440
Openings a year BLS, 2025–3523,100
Typical education to start BLSBachelor's degree
AI exposure BLS, Aug 2026 Very high
Projected job growth BLS, 2025–35 +12.4%

What the data says: AI could halve the time on 18 of its 20 tasks, yet jobs are projected to grow 12.4% by 2035. In the most exposed occupations, the squeeze shows up first among early-career workers. How to think about this →

About this projection

BLS builds AI into its projections where the research supports it: “BLS generally applies adjustments based on this research conservatively, where there is convincing evidence for a change.”

It also notes a limit: “BLS projection methods are not designed to capture extremely rapid technological change.”

On its AI exposure groups, BLS says exposure “does not imply job loss.”

BLS figures cover the broader occupation “Industrial engineers”, which includes this one and others.

Recent conditions

  • In 2024, 1.4% of people in this work were unemployed, against 3.8% across all occupations Census ACS 2024, all workers in the Census group “Industrial engineers, including health and safety”
  • From Sep 2025 to Aug 2026, 5.4 hires for every 10 job openings in durable goods manufacturing, which employs about 53% of people in this work, against 7.3 across all industries BLS JOLTS One box per opening, filled for each hire; hires beyond the openings are added in a lighter shade. Higher can mean openings get filled, or that people leave often; lower, that jobs go unfilled, or hiring is slow.

How to read these

Pay compared with all occupations BLS median wages Pays more than 85% of 825 occupations
lowest-paidhighest-paid

Median pay by state BLS OEWS May 2025, state estimates

$93k$157knot published

Median pay in every state
StateMedianMiddle half earnJobs
Alabama$99,880$80,920 to $122,6407,650
Alaska$156,510$117,120 to $186,790220
Arizona$108,280$89,320 to $135,1507,520
Arkansas$98,410$79,620 to $120,6801,710
California$124,600$98,380 to $154,19032,680
Colorado$109,750$95,160 to $133,2905,200
Connecticut$104,160$88,000 to $128,1206,020
Delaware$120,190$100,770 to $143,000820
District of Columbia$103,300$89,990 to $122,760160
Florida$101,610$81,480 to $127,65014,050
Georgia$100,100$82,140 to $123,6708,940
Hawaii$123,800$97,190 to $155,77050
Idaho$100,840$81,420 to $129,5801,330
Illinois$100,540$81,710 to $125,21018,640
Indiana$97,480$79,880 to $114,04011,680
Iowa$97,690$79,680 to $111,0603,600
Kansas$99,830$80,090 to $122,1903,450
Kentucky$96,820$79,390 to $116,1506,070
Louisiana$122,920$97,520 to $154,3201,710
Maine$101,030$86,270 to $129,9901,030
Maryland$119,930$98,870 to $153,3403,900
Massachusetts$109,420$96,100 to $132,26011,470
Michigan$101,680$82,850 to $127,33030,990
Minnesota$102,660$85,130 to $129,64017,580
Mississippi$95,830$78,200 to $106,2602,450
Missouri$99,290$80,050 to $124,3405,070
Montana$104,430$84,300 to $139,420390
Nebraska$98,170$79,800 to $116,2401,160
Nevada$102,090$82,570 to $119,7001,570
New Hampshire$101,310$86,020 to $128,2801,940
New Jersey$103,840$90,480 to $130,2606,870
New Mexico$128,090$96,810 to $160,2401,140
New York$102,640$84,700 to $128,23011,810
North Carolina$99,310$81,190 to $121,09011,580
North Dakota$96,940$78,890 to $106,220600
Ohio$100,060$81,350 to $123,90023,480
Oklahoma$97,510$78,250 to $121,0202,170
Oregon$128,290$100,850 to $165,7805,810
Pennsylvania$99,560$80,510 to $125,19013,180
Puerto Rico$81,820$65,040 to $103,1302,750
Rhode Island$109,350$94,830 to $130,710990
South Carolina$101,060$82,460 to $123,4907,960
South Dakota$93,200$79,340 to $109,870830
Tennessee$99,080$80,750 to $117,1007,440
Texas$104,560$86,410 to $133,49030,980
Utah$103,940$88,970 to $123,0905,520
Vermont$103,010$86,060 to $123,530440
Virginia$102,550$81,550 to $130,8105,580
Washington$129,050$102,400 to $155,9206,130
West Virginia$108,360$84,820 to $141,370850
Wisconsin$96,980$79,410 to $111,13013,070
Wyoming$122,070$93,160 to $142,500240

Nationally: $102,440. Shades run from the lowest state median to the highest; a territory below that range takes the lightest. How to read this

How AI touches the work

What AI could speed up, task by task, and where people already use it.

AI could halve the time on 18 of its 20 tasks

7 · AI alone could halve the time 11 · AI + software built on it could 2 · Not much
AI ratingIts main tasks Share of Claude conversations
May 2026
AI alone Plan and establish sequence of operations to fabricate and assemble parts or products and to promote efficient utilization. under 0.01%
Not much Confer with clients, vendors, staff, and management personnel regarding purchases, product and production specifications, manufacturing capabilities, or project status. Not published
AI + software Communicate with management and user personnel to develop production and design standards. Not published
AI + software Estimate production costs, cost saving methods, and the effects of product design changes on expenditures for management review, action, and control. Not published
Not much Recommend methods for improving utilization of personnel, material, and utilities. 0.01%
AI + software Analyze statistical data and product specifications to determine standards and establish quality and reliability objectives of finished product. under 0.01%
See all 20 tasks
AI + software Record or oversee recording of information to ensure currency of engineering drawings and documentation of production problems. Not published
AI alone Review production schedules, engineering specifications, orders, and related information to obtain knowledge of manufacturing methods, procedures, and activities. Not published
AI + software Evaluate precision and accuracy of production and testing equipment and engineering drawings to formulate corrective action plan. Not published
AI + software Draft and design layout of equipment, materials, and workspace to illustrate maximum efficiency using drafting tools and computer. Not published
AI + software Develop manufacturing methods, labor utilization standards, and cost analysis systems to promote efficient staff and facility utilization. Not published
AI alone Complete production reports, purchase orders, and material, tool, and equipment lists. under 0.01%
AI + software Coordinate and implement quality control objectives, activities, or procedures to resolve production problems, maximize product reliability, or minimize costs. Not published
AI + software Direct workers engaged in product measurement, inspection, and testing activities to ensure quality control and reliability. Not published
AI + software Implement methods and procedures for disposition of discrepant material and defective or damaged parts, and assess cost and responsibility. Not published
AI + software Apply statistical methods and perform mathematical calculations to determine manufacturing processes, staff requirements, and production standards. Not published
AI alone Study operations sequence, material flow, functional statements, organization charts, and project information to determine worker functions and responsibilities. Not published
AI alone Formulate sampling procedures and designs and develop forms and instructions for recording, evaluating, and reporting quality and reliability data. 0.01%
AI alone Regulate and alter workflow schedules according to established manufacturing sequences and lead times to expedite production operations. Not published
AI alone Schedule deliveries based on production forecasts, material substitutions, storage and handling facilities, and maintenance requirements. Not published

Ordered by how important O*NET's respondents rate each task (1 to 5) times the share who say it is part of their job. The ordering is ours. 5 of the 20 have a published share of Claude conversations; “not published” means too few conversations for Anthropic to publish a figure.

Where people already use AI

The tasks above say what AI could speed up. This shows what people are using it for. Its 20 tasks fall under 18 work activities that many occupations share, and Microsoft counted how often each one came up in 200,000 conversations with its Copilot assistant in 2024.

Tasks AI could speed up18 of 20 tasksEloundou et al. ratings (2023)
Its activities among the 50 people ask AI for help with most5 of 18 activities
  • #8 Read documents or materials to inform work processes
  • #14 Create visual designs or displays
  • #17 Implement procedures or processes
  • and 2 more, in the table below
Microsoft Copilot (2024), ranked among all 332 activities. The cut-off of 50 is ours.
Work activity This occupation's tasks under it People asked AI for help
in 10,000 conversations
AI did it for them
in 10,000 conversations
Evaluate designs, specifications, or other technical data 11#85 4.31#100
Read documents or materials to inform work processes 197#8 47#28
Communicate with others about specifications or project details 72#25 85#21
Document technical designs, procedures, or activities 9.01#98 13#60
Schedule operational activities 4.88#128 2.89#116
Create visual designs or displays 127#14 54#27
Implement procedures or processes 113#17 27#41
Determine operational methods or procedures 45#37 22#46
Show all 18 activities
Confer with clients to determine needs or order specifications 20#56 107#17
Develop operational or technical procedures or standards 13#79 9.18#68
Advise others on business or operational matters 11#86 34#35
Prepare documentation for contracts, applications, or permits 9.38#94 1.90#132
Estimate project development or operational costs 4.43#137 2.69#118
Develop research plans or methodologies 4.23#139 1.03#168
Prepare reports of operational or procedural activities 4.23#140 2.99#113
Coordinate activities with clients, agencies, or organizations 2.97#168 2.18#124
Manage control systems or activities 2.61#177 0.68#185
Supervise personnel activities 0.56#266 0.05#283
Task: AI alone Task: AI + software Task: not much #: rank among all 332 activities Microsoft measured (#1 = most common; activities that never came up share last place, shown as “tied”)
Where the two sources differ: “Supervise personnel activities” holds 1 task rated AI + software, yet people asked AI for help with it in 0.56 of every 10,000 conversations, #266 of 332.

How people in this work use Claude

What people in this work made with Claude % of conversations

  • A document or report38%
  • A plan or strategy11%
  • Data or a spreadsheet9%
  • Advice or a recommendation4%
  • An explanation or answer4%

How they worked with Claude

41% handed the task off59% worked on it together

61% of these conversations were about work. Anthropic Economic Index, May 2026.

How to read this

Work activities come from O*NET, which links every task to the broader activities it involves. Microsoft's figures are for the activity across everyone who used Copilot, not for industrial engineers specifically. Copilot is a general chat assistant; dedicated coding tools are not included, so programming help is under-counted here. Activities are listed by how many of this occupation's tasks fall under them.

The task ratings say whether AI could halve the time a task takes: on its own (“AI alone”), or with software built on it (“AI + software”). They were made by people in 2023 (Eloundou et al.). Claude's share is the task's share of all Claude.ai conversations in May 2026; Anthropic doesn't publish a task with too few conversations. None of these add up to the BLS exposure group, which combines five research measures.

More in the Guide: task ratings · task order · work activities · Copilot figures · Claude

High exposure doesn't mean fewer jobs

BLS projects most occupations in its two most exposed groups to grow: 141 of 206 rated Very high and 165 of 206 rated High. Each dot is one of the 831 occupations BLS rates.

AI exposure and projected job growth, 831 occupationsLow exposure: 134 of 213 occupations projected to grow. Moderate exposure: 151 of 206 occupations projected to grow. High exposure: 165 of 206 occupations projected to grow. Very high exposure: 141 of 206 occupations projected to grow.-20%-15%-10%-5%0%+5%+10%+15%+20%+25%Low134 of 213 growingModerate151 of 206 growingHigh165 of 206 growingVery high141 of 206 growing11 occupations outside −20% to +25% are drawn at the edge. Click a dot to see that occupation.Industrial engineers: +12.4%Industrial EngineersAI exposure and projected job growth, 831 occupationsLow exposure: 134 of 213 occupations projected to grow. Moderate exposure: 151 of 206 occupations projected to grow. High exposure: 165 of 206 occupations projected to grow. Very high exposure: 141 of 206 occupations projected to grow.-20%-15%-10%-5%0%+5%+10%+15%+20%+25%Low134 of 213Moderate151 of 206High165 of 206Very high141 of 20611 occupations outside −20% to +25% are drawn at the edge. Tap a dot.Industrial engineers: +12.4%Industrial Engineers

Career moves into and out of this occupation

From moves between occupations found in online resumes, 2002–2016. Career changes only: a first job after school isn't a move.

Where people moved next

of 50,584 moves out

  1. 1 Engineers, All Other Very high +3.7% 13%
  2. 2 Managers, All Other (2010 group) an older group BLS has since split; no exposure group today 8%
  3. 3 Industrial Production Managers High +2.6% 7%
  4. 4 Architectural and Engineering Managers High +5.5% 6%
  5. 5 Computer Occupations, All Other (2010 group) an older group BLS has since split; no exposure group today 5%

Where people moved in from

of 56,634 moves in

  1. 1 Engineers, All Other Very high +3.7% 12%
  2. 2 Managers, All Other (2010 group) an older group BLS has since split; no exposure group today 7%
  3. 3 Industrial Production Managers High +2.6% 6%
  4. 4 Computer Occupations, All Other (2010 group) an older group BLS has since split; no exposure group today 5%
  5. 5 Architectural and Engineering Managers High +5.5% 4%

Resumes over-represent younger, white-collar job-seekers and moves into management. Schubert, Stansbury and Taska (resume data).

Education and training for the occupation

Education people in it hold

O*NET survey of workers in this occupation

  • 8% high school
  • 16% some college
  • 3% associate's
  • 59% bachelor's
  • 4% post-bachelor's certificate
  • 11% master's

O*NET 31.0 survey of workers in this occupation · 29 people answered.

Census survey (American Community Survey)

  • 1% less than high school
  • 6% high school
  • 9% some college
  • 7% associate's
  • 55% bachelor's
  • 19% master's
  • 1% professional degree
  • 2% doctorate

Census ACS 2024, all workers in the Census group “Industrial engineers, including health and safety” · 3,243 people surveyed.

Why the two can differ

O*NET asks about 20 people in each occupation, which makes its shares uncertain, but it reports the exact occupation and counts certificates. The Census survey reaches thousands, but it groups some occupations together and counts degrees only. More in the Guide

Median pay by highest degree full-time, year-round · Census ACS 2024, all workers in the Census group “Industrial engineers, including health and safety”

Programs that prepare people for it (NCES)
5 programs, such as Systems Engineering, Industrial Engineering and Manufacturing Engineering.
See all
  • Systems Engineering
  • Industrial Engineering
  • Manufacturing Engineering
  • Engineering/Industrial Management
  • Packaging Science

Jobs that require a credential BLS Occupational Requirements Survey 2023

10.1% this occupation

45.3% all occupations

By kindThis occupationAll occupations
a certification0.7%5.8%
an educational certificate<0.5%2.8%
a licensenot published

Share of jobs whose employer requires it. BLS doesn't say which credential. How to read this

Look up certifications, training and licenses U.S. Department of Labor

These open in a new tab and send only the occupation's public code. More in the Guide

See where your own career could go Start by uploading your resume Browse careers

BLS AI exposure categories (Aug 2026) · BLS Employment Projections 2025–35 · O*NET 31.0 · Task ratings: Eloundou et al., Science (2024) · Microsoft "Working with AI" v1.1 · Anthropic Economic Index (2026-06-26) · Schubert, Stansbury and Taska · NCES CIP–SOC · Census ACS 2024 · BLS JOLTS · Brynjolfsson, Chandar and Chen, Stanford (Aug 2026)

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