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SOC 17-3026
Industrial engineering technologists and technicians correspond to the specific U.S. occupation O*NET/SOC 17-3026.00, Industrial Engineering Technologists and Technicians: they apply engineering theory and principles to industrial-layout or manufacturing-production problems, usually under engineering staff's direction. They may conduct time-and-motion studies of worker operations in various industries to establish standard production rates or improve efficiency. Official scope: Apply engineering theory and principles to problems of industrial layout or manufacturing production, usually under the direction of engineering staff. May perform time and motion studies on worker operations in a variety of industries for purposes such as establishing standard production rates or improving efficiency. Core tasks include complying with health, safety, and environmental requirements, monitoring or inspecting production processes, identifying improvements, testing product specifications, evaluating statistical data, preparing or interpreting engineering materials, and recommending corrective and preventive measures. U.S. wages and employment on this page come from BLS OEWS 2025 and BLS 2024—2034 employment projections presented by O*NET (specific occupation 17-3026.00). Precise mainland Chinese occupational wages were not obtained and are recorded as a visible gap; China's qualification and safety system boundaries are marked separately.
Model impact index for three equally weighted representative core tasks; not a measured share of working time or a job-loss probability. floor((25+25+50)/3+0.5)=33; fermatmind-ai-impact-v1; 2026-10-18.
Responsibility assessment | Genuine fit depends on whether you can accomplish three things within the same task: carry out fieldwork and data work thoroughly, observing and recording production, conducting time-and-motion studies, testing products, compiling quality statistics, and producing reviewable records; maintain standards and safety through health, safety, and environmental compliance, measurement accuracy, and process and cost constraints under organizational and regulatory requirements; and accept defined responsibilities, taking responsibility for your measurements, tests, and recommendations while consulting or referring engineering judgments and safety conclusions beyond authority. Test this through a verifiable experience, such as completing a step-by-step procedure and measurement log or practicing identification and response with simulated production-line data, rather than relying solely on an interest questionnaire.
Caution signals | Official scope and tasks involve production sites, measurements and data, and safety and compliance. Unmet safety or compliance requirements, measurement or data errors, improvement proposals conflicting with processes or costs, or unauthorized engineering decisions may cause quality incidents, personal risks, or rework. This page therefore addresses health, safety, and environmental compliance, measurement and data accuracy, proposal feasibility, and authorization boundaries separately. The U.S. occupation itself is not marked Bright Outlook; the O*NET summary and employment trends project below-average growth (2%) in 2024—2034, about 6,300 annual openings, and approximately 74,600 employed in 2024. If production environments, repeated measurements, or safety responsibility would be difficult for you, treat these as real costs requiring careful consideration.
Industrial engineering technologists and technicians (O*NET/SOC 17-3026.00, Industrial Engineering Technologists and Technicians) apply engineering theory and principles to industrial-layout or manufacturing-production problems, usually under engineering direction. They may conduct time-and-motion studies of worker operations across industries to establish standard production rates or improve efficiency. Official scope: Apply engineering theory and principles to problems of industrial layout or manufacturing production, usually under the direction of engineering staff. May perform time and motion studies on worker operations in a variety of industries for purposes such as establishing standard production rates or improving efficiency. Core tasks include complying with health, safety, and environmental regulations and procedures; monitoring or inspecting production; identifying quality, cost, and efficiency improvements to automated equipment; developing or implementing plans to resolve production, material, safety, or quality problems; testing product performance or specification conformity at designated production stages; preparing or interpreting engineering drawings, diagrams, formulas, or blueprints for management or engineering staff; compiling and evaluating statistics to establish and maintain product quality and reliability; and recommending corrective or preventive measures. Common titles include Engineering Technician, Industrial Engineering Analyst, Industrial Engineering Technician, Manufacturing Coordinator, and Quality Control Engineering Technician. U.S. data cover specific occupation 17-3026.00; mainland China's qualification and safety systems are marked separately using sources from their respective jurisdictions and are not interchangeable.
Career direction comparison
The following comparison helps distinguish directions. Each row addresses the same dimensions: core work and outputs, key differences from this occupation, and preferences it may suit. Table evidence links lead to official U.S. occupation pages.
| Career direction | Core work and outputs | Key differences | Preferences it may suit |
|---|---|---|---|
| Industrial engineering technologists and technicians (this occupation) | Monitor production, measure and test, and recommend improvements under guidance | Centers on field monitoring, measurement, and data support | People willing to measure on site according to procedures and support engineering decisions |
| Industrial engineers (adjacent) | Design and optimize production systems and processes |
AI's impact on occupations
Insufficient evidence: no generative AI adoption rate, productivity, net employment effect, or replacement timetable was obtained for this occupation. Editorial trial candidates are production-data organization, drawing-information retrieval, and report drafting; check against field measurements, statistical methods, drawing specifications, and process constraints. AI Impact Score 33% is an editorial estimate. Model impact index for three equally weighted representative core tasks; not a measured share of working time or a job-loss probability. floor((25+25+50)/3+0.5)=33; fermatmind-ai-impact-v1; 2026-10-18.The three tasks, ratings and sources are listed in the FermatMind method source record on this page.
FermatMind AI Impact Score estimation method v1
FermatMind / 费马测试 · 2026-10-18
Editorial ratings use the existing occupational responsibilities and AI task analysis on this page. They are not adoption rates, measured effects, job-disappearance or personal-unemployment probabilities, or official scores from Stanford or another external institution. No measured time weights or future robot deployment are assumed.
Mainland China pay reference
Classification comparison | U.S. SOC 17-3026.00 identifies Industrial Engineering Technologists and Technicians within engineering occupations, distinct from Industrial Engineers (17-2112.00), Manufacturing Engineers (17-2112.03), Mechanical Engineers (17-2141.00), Electrical Engineers (17-2071.00), Chemical Engineers (17-2041.00), and Calibration Technicians (17-3028.00). International classifications such as ISCO-08 indicate only the broad placement of engineering-technical roles and cannot replace U.S. SOC or mainland Chinese occupational classifications and statistical scopes.
Occupational definition | This page's industrial engineering technologists and technicians correspond to U.S. SOC 17-3026.00, Industrial Engineering Technologists and Technicians. The official scope is applying engineering theory and principles to industrial-layout or manufacturing-production problems, usually under engineering direction; potentially conducting time-and-motion studies of worker operations across industries to establish standard production rates or improve efficiency. Mainland Chinese industrial-engineering and production-site support roles have similar tasks, but qualification and safety systems belong to different jurisdictions; no numerical conversion is made between them.
U.S. pay reference
2025 national wage percentiles 10 / 25 / 50 / 75 / 90 for SOC17-3026 are 47,300 / 55,760 / 66,120 / 80,280 / 99,150 USD, with median hourly pay of 31.79 USD. Current BLS 2025—2035 specific occupation SOC17-3026: employment rises from 76,700 to 79,000, growth of 3%, with 6,600 annual openings. Openings include growth and replacements, not net new jobs or actual recruitment; the projection does not establish generative AI causality.
| Wage-distribution position | Annual wage reference | Conversion boundaries | How to interpret this position |
|---|---|---|---|
| Bottom 10% | 10th-percentile annual pay: 47,300 USD (2025, BLS OEWS, specific occupation 17-3026.00) | Official annual wages, not individual monthly income | The 10th percentile is a wage-distribution threshold, not minimum pay, starting pay, or a designation of less-experienced workers. |
| Median (50%) | Median annual pay: 66,120 USD (2025, BLS OEWS, specific occupation 17-3026.00) |
Career fit guide
Direct answer | Fit signals for industrial engineering technologists and technicians concern following procedures in production-site observations, measurements, and tests, ensuring data accuracy and safety, and recommending improvements within authorization, rather than personality labels. The RCI interest code (Realistic—Conventional—Investigative) is only directional guidance; preferences do not equal talent or hiring conclusions.
You may be better suited： Signal one | Can you follow procedures in field observations, measurements, and tests and ensure accurate data?
These circumstances require caution： Signal two | Can you work consistently under safety and compliance requirements and keep honest records?
Try an entry exercise： Signal three | Can you identify matters beyond authority and consult or refer them?
Work pressures, risks, and professional boundaries
Direct answer | Industrial engineering technologists and technicians' main risks fall into four categories: unmet safety or compliance requirements, measurement or data errors, improvement proposals conflicting with processes or costs, and unauthorized engineering judgments. Priorities are traceable measurement, testing, and review records, and stopping and escalating anomalies and matters beyond authority.
Evidence scope | Risk items draw on O*NET 17-3026.00 tasks—safety compliance, process monitoring, problem solving, testing and quality, drawings and materials, and improvement recommendations—and work activities, plus relevant safety and quality requirements. China-related system boundaries are editorial synthesis, subject to current regulations and organizational systems.
Typical scenario：Unmet safety or compliance requirements
Main roles：Industrial engineering technologists and technicians, safety lead
Entry, qualifications, and career development
Editorial checking path: U.S. education respondents for this occupation report 53% bachelor's, 29% associate's, and 11% master's; check specific Chinese postings. Practice field measurements, time-and-motion studies, statistics, and quality support. Check specific-operation requirements by actual activity; training does not confer engineering-approval authority.
Career outlook and transitions to related occupations
Current BLS 2025—2035 specific occupation SOC17-3026: employment rises from 76,700 to 79,000, growth of 3%, with 6,600 annual openings. Openings include growth and replacements, not net new jobs or actual recruitment; the projection does not establish generative AI causality. Wages cover 2025 SOC17-3026; national percentiles are not individual offers. Precise Chinese occupational wages remain a gap. Transition distance is an editorial task comparison; check target conditions separately.
United States · Specific occupation 17-3026.00
3% (average)
Employment growth
Overall employment projections do not establish AI causality; growth is total employment change, while openings include growth and replacements rather than net new jobs.
National projections do not equal actual recruitment or individual employment; distinguish growth from replacement openings.
According to O*NET 17-3026.00, this occupation applies engineering theory and principles to industrial-layout or manufacturing-production problems, usually under engineering direction; it may conduct time-and-motion studies of worker operations across industries to establish standard production rates or improve efficiency. Typical tasks include health, safety, and environmental compliance, monitoring or inspecting production, identifying improvements, testing product specifications, compiling and evaluating statistics, preparing or interpreting engineering materials, and recommending corrective and preventive measures.
Industrial engineers design and optimize production systems and processes; manufacturing engineers focus on manufacturing processes and engineering methods; mechanical engineers focus on mechanical-system design; electrical engineers focus on electrical-system design; and calibration technicians focus on metrology and calibration. Work objects, qualifications, and responsibility boundaries differ; titles are not interchangeable.
Choose a real task from this page for a small practice project or a conversation with someone in the field. Use the planning guides to set a date, an output and feedback questions before deciding whether to continue.
Fit signals | U.S. O*NET 17-3026.00 tasks and activities center on health, safety, and environmental compliance, monitoring or inspecting production, identifying improvements to automated equipment and production lines, testing product conformity, compiling and evaluating statistical data, and recommending corrective or preventive measures. Work involves field operations, measurements, data organization, and cross-department communication in offices and production environments. The interest code is RCI (Realistic—Conventional—Investigative); skills emphasize active listening, critical thinking, mathematics, and quality-control analysis. If you are willing to follow procedures for field measurements and data analysis under engineering direction, prioritize safety and quality, and accept defined responsibilities, these daily demands may align with your working style.
This checklist is for self-reflection only, not a hiring standard, ability score, or assessment of job competence, and does not constitute engineering, safety, compliance, or investment advice. This page covers specific U.S. occupation O*NET/SOC 17-3026.00, Industrial Engineering Technologists and Technicians: applying engineering theory and principles to industrial-layout or manufacturing-production problems, usually under engineering staff's direction; potentially conducting time-and-motion studies of worker operations across industries to establish standard production rates or improve efficiency. Official scope: Apply engineering theory and principles to problems of industrial layout or manufacturing production, usually under the direction of engineering staff. May perform time and motion studies on worker operations in a variety of industries for purposes such as establishing standard production rates or improving efficiency. U.S. wages and employment come from BLS OEWS 2025 and BLS 2024—2034 employment projections presented by O*NET (specific occupation 17-3026.00). Precise mainland Chinese occupational wages were not obtained and are recorded as a visible gap; the jurisdictions and safety systems are not interchangeable.
To assess your fit for industrial engineering technologist and technician work, first complete a verifiable field exercise using public or simulated materials. Set a fictional production-line scenario, such as an inefficient assembly line with quality issues. Write a step-by-step process from complying with health, safety, and environmental requirements, observing and recording production, conducting time-and-motion studies, identifying quality, cost, and efficiency improvements, and testing product conformity to specifications, through recommending corrective or preventive measures and reporting to engineering staff. Mark each checkpoint and possible problem: unmet safety or compliance requirements, measurement or data errors, improvement proposals conflicting with processes or costs, or unauthorized engineering decisions. Check whether health, safety, and environmental compliance, measurement accuracy, and authorization boundaries are mandatory; whether engineering judgments, process changes, and safety conclusions beyond authority require consultation or referral; and whether observations, measurements, and tests form reviewable records. Assess yourself through actual deliverables rather than an interest questionnaire alone.
Daily work can be divided into three strands: (1) fieldwork and compliance—following health, safety, and environmental requirements, observing, monitoring, and inspecting production, wearing protective equipment, and maintaining safety; (2) measurement and analysis—conducting time-and-motion studies, testing product specifications, and compiling and evaluating statistical data; (3) improvement and reporting—identifying quality, cost, and efficiency opportunities, recommending corrective and preventive measures, and reporting to engineering staff. All three share procedures and safety requirements but produce different outputs: fieldwork and compliance concern safety and stability, measurement and analysis concern data, and improvement and reporting concern engineering decisions.
Work centers on production sites and data, following procedures under engineering direction; site conditions involve equipment, noise, and protective requirements.
Production roles involving safety and quality use this as a basis and have greater requirements for compliance and measurement accuracy.
Key boundaries: this page covers only specific occupation O*NET/SOC 17-3026.00, Industrial Engineering Technologists and Technicians, centered on production-site monitoring, measurement, and data support. Adjacent occupations—industrial engineers, manufacturing engineers, mechanical engineers, electrical engineers, chemical engineers, and calibration technicians—differ in work objects, qualifications, and responsibilities and cannot be treated as interchangeable based on titles alone. Engineering judgments, process changes, and safety conclusions involve authorization or responsibility boundaries and must be decided by qualified personnel under organizational systems and applicable regulations.
| Dimension | Main direction | Comparison direction |
|---|---|---|
| Core purpose | Turn field observations and measurements into reviewable data and improvement recommendations, supporting engineering decisions within authorization. | Industrial engineers design and optimize production systems and processes and usually do not perform daily field measurements and data collection. |
| Main objects and basis | The work concerns production processes, equipment, and data; it follows procedures, quality standards, and safety systems. | Manufacturing engineers focus on manufacturing processes and engineering methods and usually do not perform field time-and-motion studies and data collection. |
Follow all applicable health, safety, and environmental-compliance regulations, policies, and procedures (O*NET task: comply with requirements).
Monitor or inspect production processes and identify quality, cost, or efficiency improvements to automated equipment (O*NET tasks: monitor production; identify improvements).
Develop or implement plans to resolve production, material, safety, or quality problems (O*NET task: develop improvement plans).
Test selected products for performance or specification conformity at designated production stages, and compile and evaluate statistical data to maintain quality and reliability (O*NET tasks: test products; evaluate statistical data).
Prepare or interpret engineering drawings, diagrams, formulas, or blueprints for management or engineering staff (O*NET task: prepare or interpret engineering materials).
Recommend corrective or preventive measures to ensure or improve product quality or reliability (O*NET task: recommend corrective and preventive measures).
Before joining, check each of the following items relating to O*NET/SOC 17-3026.00 and mainland China's qualification and safety systems. Treat every unverified item as pending verification; recruitment publicity cannot replace these checks.
Basis: O*NET 17-3026.00 official definition and task list.
Basis: O*NET Job Zone Three and education information.
Basis: qualification and safety rules in the job's jurisdiction and organizational systems.
Basis: job posting and organizational production and assessment systems.
| Produces system and process designs and improvements, usually without daily field measurements |
| People interested in production-system design and optimization |
| Manufacturing engineers (adjacent) | Design manufacturing processes and production methods | Produces manufacturing processes and engineering methods, with higher qualification requirements | People interested in manufacturing-process design |
|---|
| Mechanical engineers (adjacent) | Design mechanical systems and structures | Produces mechanical-system designs, with higher qualification requirements | People interested in mechanical-system design |
|---|
| Electrical engineers (adjacent) | Design electrical systems and control solutions | Produces electrical-system designs, with higher qualification requirements | People interested in electrical-system design |
|---|
| Calibration technicians (adjacent) | Perform measurement calibration and ensure equipment accuracy | Produces metrology and calibration outputs, with different measurement priorities | People interested in metrology and calibration |
|---|
Conclusion | Industrial engineering technologists and technicians differ from adjacent occupations in work objects and outputs: this occupation monitors sites, measures, tests, supports data work, and recommends improvements under engineering direction; industrial engineers design and optimize production systems and processes; manufacturing engineers focus on manufacturing processes and engineering methods; mechanical engineers focus on mechanical-system and structural design; electrical engineers focus on electrical-system design; and calibration technicians focus on metrology and calibration. Treating titles as interchangeable can misrepresent methods and responsibility boundaries.
Transition note | Methods, qualifications, and responsibilities differ across these directions. Transitions require corresponding training and experience; authority for engineering judgments, process changes, and safety conclusions cannot be carried over between roles.
Editorial analysis: evaluate tool assistance with data organization, drawing-information retrieval, and report drafting; review production measurements, statistical methods, and specifications. Technology demonstrations do not establish production effects or approval authorization.
Insufficient evidence: no generative AI adoption or productivity measurements were obtained for this occupation. Governance frameworks and tool capabilities do not demonstrate expanding industry adoption, established implementation standards, or widespread adoption.
Current BLS 2025—2035 specific occupation SOC17-3026: employment rises from 76,700 to 79,000, growth of 3%, with 6,600 annual openings. Openings include growth and replacements, not net new jobs or actual recruitment; the projection does not establish generative AI causality. This page has not obtained causal research on generative AI's net employment effects.
| Work direction | Task | Current changes | Human control points |
|---|---|---|---|
| Follow health, safety, and environmental requirements | Safety compliance | Editorial trial recommendation: tools may help retrieve procedures and organize records. Adoption rates or effects in this occupation have not been verified. | Implementing field protection and making compliance judgments. |
| Monitor or inspect production processes | Process monitoring | Editorial trial recommendation: tools may help organize observation and inspection records. Adoption rates or effects in this occupation have not been verified. | Field observations and equipment-status judgments. |
| Develop improvement plans | Problem solving | Editorial trial recommendation: tools may help retrieve options and organize data. Adoption rates or effects in this occupation have not been verified. | Judgments about proposal feasibility and process constraints. |
| Test products and evaluate statistical data | Testing and quality | Editorial trial recommendation: tools may assist with statistical analysis and charts. Adoption rates or effects in this occupation have not been verified. | Measurement accuracy, quality determinations, and responsibility. |
| Prepare or interpret engineering materials | Drawings and materials | Editorial trial recommendation: tools may assist with drawing interpretation and information retrieval. Adoption rates or effects in this occupation have not been verified. | Accurate interpretation and checking of drawings and specifications. |
| Recommend corrective and preventive measures | Improvement recommendations | Editorial trial recommendation: tools may help organize recommendations and supporting grounds. Adoption rates or effects in this occupation have not been verified. | Recommendation feasibility and responsibility. |
| Collaborate with engineering and production teams | Communication and coordination | Editorial trial recommendation: tools may help organize communication materials. Adoption rates or effects in this occupation have not been verified. | Cross-department coordination and reporting responsibility. |
Why can employment evidence produce different conclusions? Task exposure, organizational adoption, productivity changes, and job counts are four different measures with different samples, methods, and periods; they cannot be inferred from one another.
The following is an editorial comparison of task objects; assistance uses are candidates for trials. Actual conditions, data, and methods require checks. No occupation-specific measurements of relative acceleration or adoption sequence were obtained.
What AI mainly changesTools may assist with procedure retrieval and record organization.
Still a human responsibilityField observations, protective measures, and safety-compliance judgments.
What AI mainly changesEditorial trial recommendation: try assistance with data organization, statistics, and drawings.
Still a human responsibilityAccuracy of field measurements, tests, and quality determinations.
What AI mainly changesTools may assist with drafting reports and improvement proposals.
Still a human responsibilityFeasibility, process constraints, and responsibility for improvement recommendations.
Accountability must remain intact when digital tools enter field and quality workflows. Every stage—task confirmation, tool processing, human review, recordkeeping, and authorization—needs a clearly responsible person and traceable evidence.
Define task goals, production and data boundaries, permitted tools, and content that must not be sent externally: production data, process and equipment information, and unpublished quality reports.
Limit tools to data organization and statistics, drawing and information retrieval, and report drafting. Do not let tools directly produce safety or compliance conclusions, quality determinations, or engineering decisions.
Responsible personnel must check measurements, tests, and data item by item, confirm consistency with field conditions, and assess compliance with work procedures and quality requirements.
Record tools and versions, key inputs, changes, and their basis so results are reproducible and traceable for later review.
Define responsible parties separately for engineering approval, process changes, and safety and quality conclusions. Check authorization by task, organization, and jurisdiction rather than assigning a universal competent-authority decision.
Tool-generated conclusions are treated as confirmed results, carrying errors into production or quality work
Control method:Label generated content as provisional and check field measurements and data item by item before use
Production data and process and equipment information are sent externally, creating data and compliance risks
Control method:Follow organizational information requirements and confirm authorization and the minimum necessary scope before use
Tool versions and inputs are not recorded, making the basis difficult to reconstruct in quality disputes
Control method:Consistently record tools, versions, and key inputs, and retain change histories
Incorrect measurement or statistical suggestions lead to erroneous improvement recommendations
Control method:Check results against field measurements and procedures; tool conclusions must not replace validation
Missing review leaves responsibilities unclear, making accountability difficult when problems occur
Control method:Check review, engineering-approval, and safety and quality responsibility holders by task, and define tool scope and record requirements.
Use AI for information retrieval, data statistics, and drawing assistance, but do not treat generated content as production conclusions. First build solid field-measurement, safety-compliance, and quality-control skills.
Editorial recommendation: trial data, drawing, and drafting tools in an authorized environment and measure effects. Check field observations, measurements, and tests against actual procedures; general time savings have not been verified.
Define digital-tool boundaries in work and quality systems, including whether tools may support data processing, drawings, and drafting, the data rules, and mechanisms for reviewing outputs and reverting when necessary.
Use tools for organization and preliminary analysis, but do not replace field checks, measurement validation, or engineering judgment with automated conclusions.
Insufficient evidence: no generative AI adoption rate, productivity, net employment effect, or replacement timetable was obtained for this occupation. Editorial trial candidates are production-data organization, drawing-information retrieval, and report drafting; check against field measurements, statistical methods, drawing specifications, and process constraints.
Source:ILO task-exposure limitations and editorial analysisOriginal material ↗
O*NET tasks include statistical analysis, computer-program support, and automation problem solving. RCI cannot establish that all roles have no coding threshold. Check target roles' data, software, automation, and scripting requirements; tool use does not replace field validation.
Source:O*NET tasks; specific judgments are editorial analysisOriginal material ↗
Editorial analysis: data organization, information retrieval, and report drafting are candidates for trials. No occupation-specific measurements establish which tasks change first or relative acceleration; field measurements and quality judgments require checks of actual conditions.
Source:O*NET tasks; specific judgments are editorial analysisOriginal material ↗
Current BLS 2025—2035 specific occupation SOC17-3026: employment rises from 76,700 to 79,000, growth of 3%, with 6,600 annual openings. Openings include growth and replacements, not net new jobs or actual recruitment; the projection does not establish generative AI causality.
Source:Current BLS overall projections, not AI causalityOriginal material ↗
Model outputs do not confer authority for engineering approval, process changes, or safety conclusions. Check decision-makers by task, organizational responsibilities, and jurisdiction rather than assigning all decisions to competent authorities or specifying one personal certificate.
Source:O*NET tasks; specific judgments are editorial analysisOriginal material ↗
No evidence on job-disappearance years or replacement probabilities was obtained; task exposure is not a timetable.
Source:ILO task-exposure limitations and editorial analysisOriginal material ↗
Editorial recommendation: first practice time-and-motion studies, measurements and statistics, drawing-specification checks, and communication about process constraints, then trial data tools in an authorized environment. Evidence does not establish that these capabilities are irreplaceable, and no uniform efficiency improvement is available.
Source:O*NET tasks; specific judgments are editorial analysisOriginal material ↗
Editorial recommendation: first practice time-and-motion studies, measurements and statistics, drawing-specification checks, and communication about process constraints, then trial data tools in an authorized environment. Evidence does not establish that these capabilities are irreplaceable, and no uniform efficiency improvement is available.
Insufficient evidence: no national wages specific to this occupation were obtained; the National Bureau of Statistics reports industry-category average wages without distinguishing occupations. This page does not substitute industry data.
Insufficient evidence: no national wages specific to this occupation were obtained; private-unit data are also reported by industry category and cannot be treated as industrial engineering technologist and technician wages.
Insufficient evidence: mainland China's public occupational statistics do not establish a national wage distribution precisely matching U.S. O*NET/SOC 17-3026.00, Industrial Engineering Technologists and Technicians. The National Bureau of Statistics publishes industry-category average wages without distinguishing occupations; this page does not substitute industry averages, advertised pay, or U.S. data.
Mainland China section | Mainland Chinese industrial-engineering and production-site support roles have tasks similar to industrial engineering technologists and technicians; qualification and safety systems follow relevant regulations and organizational systems. Public occupational statistics do not separately list a national wage distribution for this occupation: the National Bureau of Statistics publishes average urban-unit wages by industry category without distinguishing occupations. Under the evidence policy, this page records only statistical scope and visible gaps and does not substitute industry averages, advertised pay, or U.S. wages for exact occupational values.
| Educational background | Common roles | Notes and checking recommendations |
|---|---|---|
| Junior college diploma or associate's degree (industrial engineering, mechanical, or related field) | Field technician, production-coordination assistant | O*NET education respondents for this occupation report 53% bachelor's, 29% associate's, and 11% master's degree. Job Zone Three's one-to-two-year training is an occupational-group description, not a uniform duration for this occupation; it does not establish a universal or majority junior-college threshold in China. |
| Relevant education plus field and safety training | Industrial engineering technician, quality-control technician | Editorial checking recommendation: target posting's education, field-measurement, statistics, and safety requirements; no uniform sample covering most Chinese roles was obtained. |
| Specialized process experience and data-analysis capabilities | Automation, quality-control, or lean-improvement direction | Specialized improvements usually require additional training and experience; job authorization and engineering-judgment authority follow organizational systems. |
| Equipment-operation or safe-work qualifications (depending on role and activities) | Roles involving equipment operation and hazardous work | Check requirements by actual work: special operations or special-equipment operation require checks of applicable catalogs, activities, and competent authorities. Do not infer that all equipment operation requires one universal certificate. |
Conditional broad industry reference: if the target employer belongs to manufacturing, NBS2025 tables 2 / 5 give non-private / private average annual wages of 113,594 / 76,055 yuan; for scientific research and technical services, 182,064 / 83,560 yuan. Verify employer classification. All are pretax national industry averages across all occupations, reported separately, not this occupation's median, starting pay, or take-home wages; precise occupational wages remain a gap.
The O*NET industry page identifies manufacturing and professional, scientific, and technical services as main U.S. industries for this occupation. National Bureau of Statistics average wages use industry categories without distinguishing occupations; this page does not substitute them for occupational wages.
Some roles are in logistics and energy; staffing scale and assessment criteria differ, and this page does not supply substitute values.
Classifications and statistical scopes differ; no numerical conversion is made.
Insufficient evidence: no generative AI adoption rate, productivity, net employment effect, or replacement timetable was obtained for this occupation. Editorial trial candidates are production-data organization, drawing-information retrieval, and report drafting; check against field measurements, statistical methods, drawing specifications, and process constraints.
| Official annual wages, not individual take-home pay |
| The median is the distribution's midpoint, not typical experience, individual starting pay, or a pay-growth path. |
| Top 10% | 90th-percentile annual pay: 99,150 USD (2025, BLS OEWS, specific occupation 17-3026.00) | Official annual wages, not individual take-home pay | The 90th percentile is a wage-distribution threshold and does not identify workers' education, experience, qualifications, or task composition. |
|---|
Pay · 10th percentile：10th-percentile annual pay: 47,300 USD (2025, BLS OEWS, specific occupation 17-3026.00)；Scope | U.S. 17-3026.00 national 10th-percentile annual pay (2025, presented by O*NET). Boundary | Lower distribution position, not starting pay or representative of any employer or region.
Pay · 25th percentile：25th-percentile annual pay: 55,760 USD (2025, BLS OEWS, specific occupation 17-3026.00)；Scope | U.S. 25th-percentile annual pay for this occupation (2025, presented by O*NET). Boundary | Lower quartile； industry and region affect actual income.
Pay · Median：Median annual pay: 66,120 USD (2025, BLS OEWS, specific occupation 17-3026.00)；OEWS measures pretax straight-time wage rates, including incentive payments such as production bonuses but excluding overtime premiums, shift differentials, nonproduction bonuses, and employer benefit costs. The median is the distribution's midpoint, not individual starting pay.
Pay · 75th percentile：75th-percentile annual pay: 80,280 USD (2025, BLS OEWS, specific occupation 17-3026.00)；Scope | U.S. 75th-percentile annual pay for this occupation (2025, presented by O*NET). Boundary | Upper quartile, usually related to industry, region, and specialized capabilities.
Pay · 90th percentile：90th-percentile annual pay: 99,150 USD (2025, BLS OEWS, specific occupation 17-3026.00)；Scope | U.S. 90th-percentile annual pay for this occupation (2025, presented by O*NET). Boundary | Upper distribution position, strongly affected by industry, region, and responsibilities； it does not represent most workers.
The median is the distribution's midpoint, not entry-level pay; percentiles do not identify years of experience.
BLS OEWS2025 national wages for this occupation, presented by O*NET. OEWS measures pretax straight-time wage rates, including incentive payments such as production bonuses but excluding overtime premiums, shift differentials, nonproduction bonuses, and employer benefit costs.
Editorial checking recommendation: target region, employer, actual duties, and pay-quotation scope; this page has not estimated each condition's pay effect.
Check wages, employment, and openings separately. Industry wages cover this occupation within the industry; national percentiles are not individual offers.
| Industry | Median wage for this occupation within the industry | How to interpret it |
|---|---|---|
| Chemical manufacturing | 78,100 USD/year; 2025 industry median wage for SOC17-3026 | Industry median for this occupation, not an average across all industry occupations or an individual offer; machinery manufacturing is separately 62,310 USD/year. |
| Professional, scientific, and technical services | 74,380 USD/year; 2025 industry median wage for SOC17-3026 | Industry median for this occupation, not an average across all industry occupations or an individual offer; machinery manufacturing is separately 62,310 USD/year. |
| Transportation equipment manufacturing | 71,160 USD/year; 2025 industry median wage for SOC17-3026 | Industry median for this occupation, not an average across all industry occupations or an individual offer; machinery manufacturing is separately 62,310 USD/year. |
| Computer and electronic product manufacturing | 63,140 USD/year; 2025 industry median wage for SOC17-3026 | Industry median for this occupation, not an average across all industry occupations or an individual offer; machinery manufacturing is separately 62,310 USD/year. |
Organization type—manufacturer, engineering consultancy, or quality organization—industry and production-line type, region, and specialized experience affect income levels and stability.
Specialized process or automation experience and responsibility for data analysis affect earnings potential and growth paths.
Region, living costs, industry, and production cycles affect workload and income. Regional median wages were not obtained and are recorded as a visible gap.
Current period: current BLS 2025—2035 specific occupation SOC17-3026 projects employment rising from 76,700 to 79,000, growth of 3%, with 6,600 annual openings. Openings include growth and replacements, not net new jobs or actual recruitment； the projection does not establish generative AI causality. The shared historical value above has unselected consumers； the scope conflict is retained this round.
Current period: current BLS 2025—2035 specific occupation SOC17-3026 projects employment rising from 76,700 to 79,000, growth of 3%, with 6,600 annual openings. Openings include growth and replacements, not net new jobs or actual recruitment； the projection does not establish generative AI causality. The shared historical value above has unselected consumers； the scope conflict is retained this round.
Current period: current BLS 2025—2035 specific occupation SOC17-3026 projects employment rising from 76,700 to 79,000, growth of 3%, with 6,600 annual openings. Openings include growth and replacements, not net new jobs or actual recruitment； the projection does not establish generative AI causality. The shared historical value above has unselected consumers； the scope conflict is retained this round.
O*NET occupational-interest baseline
Interest code RCIThe O*NET 17-3026.00 interest code is RCI (Realistic—Conventional—Investigative).
Understanding this interest code: RCI means Realistic (a preference for hands-on use of tools and equipment, fieldwork, and physical work), Conventional (a preference for established processes and procedures), and Investigative (a preference for researching and analyzing problems). It suggests a combination of hands-on fieldwork, procedural compliance, and investigation rather than labeling people.
Which Holland interest types are closer to industrial engineering technologist and technician work?
The O*NET 17-3026.00 interest code is RCI (Realistic—Conventional—Investigative); this assessment explores preferences for hands-on operation, procedural work, and investigation.
Do not use it this way:Interest codes offer directional guidance, not ability or hiring conclusions; high preference scores alone cannot replace field experience.
Test my Holland career interestsWhich Big Five traits are more relevant to this work?
Current O*NET work styles include attention to detail, dependability, and caution. These are behavioral observation clues, not validation of Big Five tests as predictors of performance in this occupation.
Do not use it this way:Work styles are descriptive clues; actual task experience can help check preferences. No measurements of the magnitude of reduced fit were obtained.
View my Big Five personality traitsCan MBTI determine whether industrial engineering technologist and technician work suits me?
No validation studies showing MBTI types predict competence or performance in this occupation were obtained. Skills lists cannot establish type validity; check field-measurement, data, and communication behaviors.
Do not use it this way:The skills list offers directional guidance, not an assessment of your current abilities; verify it through actual work evidence.
Understand my MBTI preferencesCan the Enneagram show whether this occupation suits me?
No validation studies showing the Enneagram predicts performance in this occupation were obtained; work-activity frequency is not Enneagram-matching evidence.
Do not use it this way:Frequent activities do not necessarily mean monotonous work; together, they form the main flow of field technical support.
Explore my Enneagram patternsCan I become an industrial engineering technologist or technician if I struggle with mathematics?
This occupation involves mathematics, time-and-motion studies, and statistical quality analysis. Editorial recommendation: assess readiness through unit conversions, measurement error, and basic-statistics tasks. No universal IQ or mathematics-score hiring threshold was obtained; context proportions are not mathematics entry requirements.
Do not use it this way:Work-context figures are proportions reported by respondents, not predictions of an individual's work.
Understand my intelligence and reasoning performanceDo industrial engineering technologists and technicians need high emotional intelligence?
Communication with engineering, production, and quality teams about anomalies and improvement conditions is needed. No universal emotional-intelligence threshold or occupation-specific performance-validity research was obtained.
Do not use it this way:This self-assessment is editorially designed, not a hiring standard or ability score.
Understand my emotional intelligence abilitiesCloser fit:Fit signals: to assess suitability for industrial engineering technologist and technician work (this occupation), examine whether you can consistently perform its core operations in actual tasks, describe anomalies as actionable problems, and accept its methods and recordkeeping requirements.
Note:People who find field conditions, repeated measurements, or safety responsibility difficult to tolerate.
View related occupations:Industrial engineering technologists and technicians (this occupation)Closer fit:Fit signals: to assess suitability for industrial engineering, examine whether you can consistently perform its core operations in actual tasks, describe anomalies as actionable problems, and accept its methods and recordkeeping requirements.
Note:People who prefer field execution to system design.
View related occupations:Industrial EngineersCloser fit:Fit signals: to assess suitability for manufacturing engineering, examine whether you can consistently perform its core operations in actual tasks, describe anomalies as actionable problems, and accept its methods and recordkeeping requirements.
Note:People unwilling to accept process-design and engineering responsibility.
View related occupations:Manufacturing EngineersCloser fit:Fit signals: to assess suitability for mechanical engineering, examine whether you can consistently perform its core operations in actual tasks, describe anomalies as actionable problems, and accept its methods and recordkeeping requirements.
Note:Editorial comparison: assess willingness to undertake target engineering-design tasks and responsibilities; check specific permit or signing requirements separately by activity and jurisdiction.
View related occupations:Mechanical EngineersCloser fit:Fit signals: to assess suitability for electrical engineering, examine whether you can consistently perform its core operations in actual tasks, describe anomalies as actionable problems, and accept its methods and recordkeeping requirements.
Note:Editorial comparison: assess willingness to undertake target engineering-design tasks and responsibilities; check specific permit or signing requirements separately by activity and jurisdiction.
View related occupations:Electrical EngineersCloser fit:Fit signals: to assess suitability for calibration technician work, examine whether you can consistently perform its core operations in actual tasks, describe anomalies as actionable problems, and accept its methods and recordkeeping requirements.
Note:People who prefer production-line measurements to metrology and calibration.
View related occupations:Calibration TechniciansNo personality label guarantees suitability; observe willingness to measure according to procedures, organize data accurately, and check process constraints.
Introversion is not disqualifying; this occupation requires telephone, team, and field communication. Check whether anomalies can be reported clearly.
Extraversion does not guarantee performance; check careful measurement, recordkeeping, and listening to quality feedback.
No validation studies establishing which MBTI type best suits this occupation were obtained.
O*NET interests RCI: Realistic, Conventional, Investigative; an occupational-interest description, not an individual competence conclusion.
No validation studies showing personality tests predict performance in this occupation were obtained; O*NET work styles do not equal individual-scale validity.
This occupation involves mathematics, time-and-motion studies, and statistical quality analysis. Editorial recommendation: assess readiness through unit conversions, measurement error, and basic-statistics tasks. No universal IQ or mathematics-score hiring threshold was obtained; context proportions are not mathematics entry requirements.
Communication with engineering, production, and quality teams about anomalies and improvement conditions is needed. No universal emotional-intelligence threshold or occupation-specific performance-validity research was obtained.
No validation studies showing the Enneagram predicts performance in this occupation were obtained; work-activity frequency is not Enneagram-matching evidence.
Editorial recommendation: use simulated production-line data to complete time-and-motion records, basic statistics, and improvement-constraint explanations, comparing field data support with system and process design. The exercise is not a hiring judgment.
Reduce risk：Follow health, safety, and environmental requirements and wear protective equipment
Basis：Work Safety Law of the People's Republic of China (current text) · O*NET 17-3026.00 occupational profile and task list
Typical scenario：Measurement or data errors
Main roles：Industrial engineering technologists and technicians, quality lead
Possible consequences：Incorrect improvement recommendations or quality determinations
Reduce risk：Measure, test, and review data according to procedures
Basis：O*NET 17-3026.00 occupational profile and task list · FermatMind rules for career-content fields and evidence scope
Typical scenario：Improvement recommendations conflict with processes or costs
Main roles：Industrial engineering technologists and technicians, engineering personnel
Possible consequences：Rework or cost overruns
Reduce risk：Check process and cost constraints before making recommendations and retain supporting evidence
Basis：O*NET 17-3026.00 occupational profile and task list · FermatMind rules for career-content fields and evidence scope
Typical scenario：External disclosure of production or equipment information
Main roles：Industrial engineering technologists and technicians, information-security lead
Possible consequences：Data and commercial risks
Reduce risk：Follow organizational information requirements and confirm authorization and the minimum necessary scope before use
Basis：O*NET 17-3026.00 occupational profile and task list · FermatMind rules for career-content fields and evidence scope
Typical scenario：Unauthorized engineering judgments
Main roles：Industrial engineering technologists and technicians, supervisors
Possible consequences：Conclusions beyond authority create accountability problems
Reduce risk：Define authorization and approval holders for actual tasks. Submit process changes and engineering decisions according to organizational responsibilities and applicable requirements; do not broadly deny this occupation all judgment authority.
Basis：O*NET 17-3026.00 occupational profile and task list · FermatMind rules for career-content fields and evidence scope
Typical scenario：Inadequate cross-department communication and records
Main roles：Industrial engineering technologists and technicians, project managers
Possible consequences：Deviation from needs or rework
Reduce risk：Define communication and recordkeeping milestones and retain documentation
Basis：O*NET 17-3026.00 occupational profile and task list · FermatMind rules for career-content fields and evidence scope
| Career direction | Starting tasks | Evidence you can prepare | Work samples you can show without experience | Difference from this occupation |
|---|---|---|---|---|
| Industrial engineering technologists and technicians (this occupation) | Observe production, measure, and organize data under guidance | Training and measurement records, data and report samples | A step-by-step procedure and measurement log | Centers on field monitoring, measurement, and data support |
| Industrial engineers (adjacent) | Assist with production-system and process analysis and optimization | Systems-analysis training records | A process-optimization explanation | Mainly production-system and process design, potentially including field measurements; these cannot be categorically excluded |
| Manufacturing engineers (adjacent) | Assist with manufacturing-process and production-method design | Process training records | A process-design explanation | Mainly manufacturing-process design; check specific permit or signing conditions by activity and jurisdiction |
| Mechanical engineers (adjacent) | Assist with mechanical-system and structural design | Mechanical-design training records | A mechanical-structure explanation | Mainly mechanical-system design; check specific permit or signing conditions by activity and jurisdiction |
| Electrical engineers (adjacent) | Assist with electrical-system and control-solution design | Electrical-design training records | An electrical-design explanation | Mainly electrical-system design; check specific permit or signing conditions by activity and jurisdiction |
In China, check target postings' education, measurement and statistics, and specific-activity requirements; no sample covering most roles was obtained.
Check education and task capabilities separately; no comparison of their predictive validity for competence is available.
Related U.S. roles follow employer and activity requirements; mainland Chinese qualification and safety requirements follow local rules and organizational systems.
Production data, process and equipment information, and unpublished quality reports must be processed and retained within the minimum necessary scope under organizational requirements.
Current O*NET work styles include attention to detail, dependability, and caution; descriptions of working styles are not individual-test validity or hiring standards.
Core skills are active listening, critical thinking, reading comprehension, and mathematics; transferable skills include quality-control analysis, systems analysis, judgment and decision-making, and operation monitoring.
Entry commonly occurs through manufacturers, engineering consultancies, and quality organizations; site shifts and project-based work are common.
Mainland Chinese roles vary by industry, production-line type, and region; assessment criteria follow organizational announcements.
A simulated production and quality dataset with normal and abnormal examples.
A blank observation and measurement log template.
A blank improvement-recommendation and review checklist.
For three supplied anomalies—unmet safety or compliance requirements, measurement or data anomalies, and improvement proposals conflicting with processes—describe identifying features and responses.
Specify what exceeds your personal authority: engineering judgments, process changes, and safety conclusions.
For each anomaly, explain the identification basis and response consequences; describe risks of compressed or omitted steps.
Finish with a reflection: how would you stop and reassess if an improvement recommendation conflicted with safety requirements?
Do not involve real production lines, real equipment, or identifiable production data.
Mark whether each step was completed independently or under someone else's guidance.
Mark steps involving safety and quality that must follow procedures rather than personal decisions.
Record review comments, timing, and basis for later reflection.
Show the full chain from task confirmation through measurements to recommendations and reporting, not only conclusions.
Exclude identifiable information about real production lines or equipment and state the basis and assumptions.
Explain which field or procedural check tool outputs underwent before use; label illustrative values as examples.
| Stage | Points that may be checked | Observable evidence | Boundary note |
|---|---|---|---|
| Resume and initial screening | Field or quality experience, measurement and data capabilities, safety records | Measurement and record samples, training and safety materials | Self-assessments and training records cannot replace organizational assessments and work authorization |
| Interview and scenario questions | Safety compliance, measurement accuracy, and anomaly handling | Scenario responses and on-site questions and answers | One scenario interview cannot replace a complete field and quality-capability assessment |
| Skills and safety assessment | Equipment operation, measurements and tests, and records | Operation and testing record samples | One assessment does not establish the ability to independently take responsibility for field judgments and recommendations |
| Onboarding and probation | Compliance with work procedures and safety systems, records, and reporting | Work records and documented anomalies and reports | Equipment-operation and work authorization follow organizational systems and announcements |
Record observed safety, quality, equipment, and data requirements.
Write the real-world cost you find hardest to accept and assess whether you can tolerate it.
List key requirements according to standards: health, safety, and environmental compliance, measurement and testing procedures, and data records and review.
Write response and escalation plans for two typical risks: external disclosure of production information and unauthorized engineering judgments.
Identify at least two deviations against work procedures and record corrective actions.
Record their objections and your responses; do not avoid anomalies or counterexamples.
Use this to decide whether to continue investing in this direction and write the specific question to verify next.
| Qualification or preparation item | Applicable group | Role in this occupation | Is it generally required? | Requirements for obtaining it | Approximate investment | Limitations |
|---|---|---|---|---|---|---|
| Bachelor's, associate's, or related education (check the target role) | Entry-level roles | Check specific-role education requirements; do not list junior college as the only majority route | Check Chinese postings; U.S. education proportions are listed separately | Complete relevant specialized studies | According to program duration | Education does not guarantee equipment-operation or work authorization |
| Field and safe-work training | Field roles | Provides safe-work and protection foundations | Relatively common | Attend safety training organized by the organization or competent authority | Insufficient evidence: specific course duration and fees were not verified | Training does not replace job safety qualifications and work permits |
| Measurement and quality-control training | Quality and field roles | Develops measurement, testing, and data-assessment capabilities | Relatively common | Practice in projects and undergo review | Insufficient evidence: specific course duration and fees were not verified | Training does not replace measurement accuracy and responsibility |
| Equipment-operation qualifications (depending on activities) | Roles involving equipment operation | Check qualifications for specific special operations or special-equipment activities against catalogs and competent authorities | Depends on the work category | Attend training and pass assessments required by the competent authority | According to assessment arrangements | Qualifications do not confer specific-role, process-change, or engineering-approval authorization |
| Data-analysis and drawing-interpretation training | Data and analytical roles | Develops data-analysis and drawing-interpretation capabilities | Depends on the role | Take courses or practice in actual projects | Insufficient evidence: specific course duration and fees were not verified | Tool use does not replace field judgment and engineering decisions |
| Lean and process-improvement training | Improvement-related roles | Develops the ability to identify improvements and make recommendations | Depends on the role | Attend training or practice in improvement projects | Insufficient evidence: specific course duration and fees were not verified | Training does not replace engineering approval and responsibility |
Typical responsibilities：Observe production and record data under guidance.
Evidence for advancement：Submit observation and log samples and obtain mentor feedback.
Qualification boundaries：Depends on organizational requirements; fieldwork and safety awareness are needed.
Next step：Work toward independently completing field measurements and data organization.
Typical responsibilities：Independently complete field measurements, tests, and data organization.
Evidence for advancement：Submit measurement and testing records.
Qualification boundaries：Check target roles and specific activities; special operations or special-equipment activities require qualifications checked against applicable catalogs and competent authorities, without generalizing to all equipment operation.
Next step：Learn specialized improvements and anomaly responses.
Typical responsibilities：Lead specialized improvements and mentor newcomers.
Evidence for advancement：Submit complex cases and work records.
Qualification boundaries：Depends on organizational requirements; experience and specialized training are usually needed.
Next step：Turn experience into reusable work-standard materials.
Typical responsibilities：Coordinate field technical standards and work procedures.
Evidence for advancement：Submit standards and assessment records.
Qualification boundaries：Determined by organizational governance requirements.
Next step：Participate in developing organizational field-technical systems.
Typical responsibilities：Assist with collecting quality data and organizing records.
Evidence for advancement：Submit quality data and organization records.
Qualification boundaries：Depends on organizational requirements; quality and data foundations are needed.
Next step：Learn to independently conduct quality analyses and tests.
Typical responsibilities：Perform testing, statistics, and quality-determination support.
Evidence for advancement：Submit testing and quality records.
Qualification boundaries：Depends on organizational and quality-system requirements.
Next step：Participate in quality-problem analysis and improvement.
Typical responsibilities：Analyze process problems and propose improvements.
Evidence for advancement：Submit analysis and improvement records.
Qualification boundaries：Determined by organizational systems and engineering-coordination requirements.
Typical responsibilities：Assist with organizing production plans and data.
Evidence for advancement：Submit planning and data records.
Qualification boundaries：Depends on organizational requirements; production and data foundations are needed.
Next step：Learn to independently coordinate production and resources.
Typical responsibilities：Coordinate production schedules, resources, and data.
Evidence for advancement：Submit coordination and execution records.
Qualification boundaries：Depends on organizational requirements; field experience is usually needed.
Next step：Participate in capacity and efficiency optimization.
Typical responsibilities：Develop and continually adjust production plans.
Evidence for advancement：Submit planning and execution records.
Qualification boundaries：Determined by organizational management systems.
Promote production-planning and performance improvements.
Can observe production, measure, and organize data under guidance, following procedures and accepting feedback.
Can independently complete field measurements, tests, and data organization and recommend improvements.
Can lead specialized improvements or cross-department projects, mentor newcomers, and produce verifiable work records.
Responsible at organizational level for field technical standards and quality systems, accepting accountability.
United States · Specific occupation 17-3026.00
6,600/year
Annual job openings
Overall employment projections do not establish AI causality; growth is total employment change, while openings include growth and replacements rather than net new jobs.
What it cannot show：National projections do not equal actual recruitment or individual employment; distinguish growth from replacement openings.
Mainland China · No precise occupational scope available; only industry-category average wages (industry proxy)
Insufficient evidence
Mainland China occupational wages
The National Bureau of Statistics reports industry-category average wages without distinguishing occupations, so occupational values for industrial engineering technologists and technicians cannot be derived.
What it cannot show：Industry proxy; no substitution using industry averages, advertised pay, or U.S. data.
These are relationships between adjacent capabilities, not automatic promotions or transitions without additional learning.
Transferable：Production and data foundations.
Needs development：Needs development: production-system and process design and optimization methods.
View occupation detailsTransferable：Process and material foundations.
Needs development：Needs development: manufacturing processes and engineering methods.
View occupation detailsTransferable：Structural and equipment foundations.
Needs development：Develop target engineering-design methods; check specific permit and signing requirements by actual activity and jurisdiction.
View occupation detailsTransferable：Electrical and equipment foundations.
Needs development：Develop target engineering-design methods; check specific permit and signing requirements by actual activity and jurisdiction.
View occupation detailsTransferable：Process and workflow foundations.
Needs development：Develop target engineering-design methods; check specific permit and signing requirements by actual activity and jurisdiction.
View occupation detailsTransferable：Measurement and equipment-operation capabilities.
Needs development：Needs development: metrology and calibration methods.
View occupation detailsTransferable：Equipment-operation and automation foundations.
Needs development：Needs development: robot and automation-system maintenance.
View occupation detailsTransferable：Production-process and data capabilities.
Needs development：Needs development: production management and team leadership.
View occupation detailsBLS OEWS 2025 (presented by O*NET on the 17-3026.00 page, specific-occupation scope): median annual pay of 66,120 USD and median hourly pay of 31.79 USD; 10 / 25 / 75 / 90 percentile pay of 47,300 / 55,760 / 80,280 / 99,150 USD/year. The 2024—2034 employment outlook projects below-average growth (2%), about 6,300 annual openings, approximately 74,600 employed in 2024 and 75,900 in 2034. All figures cover specific occupation 17-3026.00.
No national wages precisely specific to this occupation are available. The National Bureau of Statistics publishes average urban-unit wages by industry category without distinguishing occupations, so occupational values for industrial engineering technologists and technicians cannot be derived. This page records the gap under the evidence policy rather than filling it with substitutes.
O*NET work-context responses report email daily, 86%; telephone conversations daily, 76%; face-to-face discussions daily, 71%; controlled indoor environments daily, 69%; teamwork rated extremely important, 65%; protective equipment daily, 65%; and exactness or accuracy rated extremely important, 51%. Main risks include unmet safety or compliance requirements, measurement or data errors, improvement recommendations conflicting with processes or costs, external disclosure of production or equipment information, unauthorized engineering judgments, and inadequate cross-department communication and records.
It will affect information-processing tasks rather than replace field observations, measurements, and safety compliance. Generative AI may assist with data organization and statistics, drawing and information retrieval, and report drafting. People remain responsible for field observations and measurements, equipment and production-line judgments, safety-compliance implementation, testing, and quality determinations. This page provides no replacement probability, adoption rate, or timetable.
O*NET places this occupation (17-3026.00) in Job Zone Three (medium preparation), with an SVP range of 6.0 to below 7.0. The education survey reports 53% requiring a bachelor's, 29% an associate's or another two-year degree, and 11% a master's, typically with one to two years of training or apprenticeship. Related mainland Chinese roles generally require industrial-engineering, mechanical, or related education plus field-measurement and data capabilities.
This page does not invent a universal certificate list. Education, training, equipment-operation or safety qualifications, job authorization, and engineering-judgment authority are different statuses. Training does not equal certification, and certification does not authorize engineering judgments, process changes, or safety conclusions. Mainland China follows current regulations and competent-authority requirements.
Main risks include unmet safety or compliance requirements, measurement or data errors, improvement recommendations conflicting with processes or costs, external disclosure of production or equipment information, unauthorized engineering judgments, and inadequate cross-department communication and records. Priorities are traceable measurement, testing, and review records, and stopping and escalating anomalies and matters beyond authority.
U.S. specific occupation 17-3026.00 is projected to show below-average growth (2%) in 2024—2034, with about 6,300 annual openings; the mainland China section records the wage gap. Possible directions include industrial engineering, manufacturing engineering, mechanical and electrical engineering, process improvement, quality, and production coordination. Each requires corresponding training or qualifications; transferable capabilities do not mean automatic promotion.
This round checked SOC17-3026 definition, tasks, RCI, education, and 9 work-context items; all 2025 wage percentiles and industry medians were checked. Current BLS 2025—2035 specific occupation SOC17-3026: employment rises from 76,700 to 79,000, growth of 3%, with 6,600 annual openings. Openings include growth and replacements, not net new jobs or actual recruitment; the projection does not establish generative AI causality. China's NBS is a conditional industry reference.
This round checked O*NET Updated2026, all 2025 wage percentiles and industry medians, 2025—2035 employment projections, NBS2025, and OEWS definitions on 2026-10-11; shared old-period metadata retain scope conflicts.
Source card | Source register: this page registers the O*NET 17-3026.00 occupational profile, details, national wages, industry distribution, hot technologies, certification directory, and national training entries; BLS Occupational Employment and Wage Statistics (OEWS 2025), employment projections, and methodology; National Bureau of Statistics average annual wages of employees in urban units; the Work Safety Law, Product Quality Law, and Personal Information Protection Law of the People's Republic of China; the ILO generative AI and jobs occupational exposure index; the NIST Artificial Intelligence Risk Management Framework; and entries for adjacent occupations such as industrial, manufacturing, and mechanical engineers.
Usage limitations：U.S. occupational description, without mainland China's qualification and safety systems.
Usage limitations：Specific-occupation scope, not individual employment conclusions.
Usage limitations：Specific-occupation scope; cannot be attributed to generative AI.
Usage limitations：Refer to the original methodology document.
Usage limitations：Industry-category scope without occupational distinctions; this occupation is not listed separately.
Usage limitations：Current regulatory texts and competent-authority requirements apply.
Usage limitations：Refer to the original law and competent-authority interpretations.
Usage limitations：Current regulatory texts and competent-authority requirements apply.
Usage limitations：U.S. industry distribution; does not establish a mainland China mapping.
Usage limitations：Occupational description, not work procedures or safety standards.
Usage limitations：The certification directory does not replace organizational and competent-authority requirements for job authorization and work permits.
Usage limitations：Task exposure does not mean automatic job disappearance or a specific adoption rate.
Usage limitations：Internal scope rules, not an external factual source.
Usage limitations：Not work procedures or safety standards.
Usage limitations：Technology mentions do not establish capability, adoption, or automation levels.
Usage limitations：A training search entry point does not replace education and work-authorization requirements.
Usage limitations：Editorial design, not universal employer requirements or hiring standards.
Usage limitations：Occupational description, not a prediction of an individual's work.
Usage limitations：Adjacent-occupation scope, not this occupation.
Usage limitations：Adjacent-occupation scope, not this occupation.
Usage limitations：Adjacent-occupation scope, not this occupation.
Usage limitations：Database and classification information do not constitute authorization.
Usage limitations：Maps titles to SOC codes; does not establish permission.
Usage limitations：Specific-occupation scope; excludes benefits and bonuses; percentiles do not equal starting pay or experience levels.
Usage limitations：Employment trends cover the specific U.S. occupation; this page's employment outlook uses the same scope.
Usage limitations：Editorial ratings use the existing occupational responsibilities and AI task analysis on this page. They are not adoption rates, measured effects, job-disappearance or personal-unemployment probabilities, or official scores from Stanford or another external institution. No measured time weights or future robot deployment are assumed.
U.S. wages cover 2025 and current projections cover 2025—2035 for specific occupation SOC17-3026; shared old-period values remain to protect consumers. Precise Chinese wages, AI measurements, and individual-test validity were not obtained.
Big Five Personality · MBTI · Intelligence and Reasoning · Emotional Intelligence
| Core process | Confirm task—check compliance—observe and measure—test and compile statistics—recommend improvements—record and report, alongside engineering staff. | Mechanical engineers focus on mechanical-system and structural design and usually do not perform production-line measurements and statistical quality control. |
|---|
| Main outputs | Production-observation and measurement records, time-and-motion data, testing and quality data, drawings and specifications, and improvement-recommendation and reporting records. | Calibration technicians focus on metrology and calibration, which cannot substitute for this occupation's production measurements and statistical analysis. |
|---|
| Responsible party | Individuals are responsible for accurate measurements, tests, and recommendations and must consult or refer engineering judgments and safety conclusions beyond authority under organizational systems. | Electrical engineers focus on electrical-system design and usually do not conduct production-line time-and-motion studies and quality-control implementation. |
|---|
| Authority and approval | Engineering judgments, process changes, and safety-compliance matters require decisions by qualified personnel or competent authorities under organizational systems. | Decisions beyond an individual's professional or responsibility scope cannot be made unilaterally. |
|---|
| Limits of conclusions | This page does not promise any organization's recruitment, licensing, or hiring outcomes. | Qualification and safety systems differ between the United States and mainland China and must be checked separately; they are not interchangeable. |
|---|
Basis: organizational safety and quality systems.
Basis: organizational occupational-health and protection requirements.
Next step：Promote process and quality-system improvements.
Typical responsibilities：Coordinate quality systems and improvement directions.
Evidence for advancement：Submit system and assessment records.
Qualification boundaries：Determined by organizational governance requirements.
Next step：Participate in developing quality systems and standards.
Typical responsibilities：Coordinate production operations and performance.
Evidence for advancement：Submit operating and assessment records.
Qualification boundaries：Determined by organizational governance requirements.
Next step：Participate in organizational production strategy and planning.
