Engineers
Occupation group · SOC minor group
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Engineers is one of the 98 SOC minor groups — the middle tier of the U.S. Standard Occupational Classification, sitting between the broad job families and individual occupations. It belongs to the Architecture and Engineering Occupations family and contains 35 detailed occupations employing about 5,404,950 people, with a median wage of $109,660 across them. BLS projects employment in this group to change +6.6% between 2024 and 2034 , with roughly 354,900 openings a year.
Occupations in this group
Ranked by U.S. employment (BLS OEWS May 2024). Projected change is BLS 2024–34; AI exposure is the OpenAI "GPTs are GPTs" human beta rating (share of an occupation's tasks where an LLM with tools could cut the time to do them by at least half).
| Occupation | Median pay | Employment | 2024–34 | AI exposure |
|---|---|---|---|---|
| Civil Engineers | $99,590 | 355,410 | +5.0% | 50% |
| Transportation Engineers | $99,590 | 355,410 | +5.0% | 50% |
| Water/Wastewater Engineers | $99,590 | 355,410 | +5.0% | 50% |
| Human Factors Engineers and Ergonomists | $101,140 | 350,230 | +11.0% | 48% |
| Industrial Engineers | $101,140 | 350,230 | +11.0% | 48% |
| Manufacturing Engineers | $101,140 | 350,230 | +11.0% | 48% |
| Validation Engineers | $101,140 | 350,230 | +11.0% | 48% |
| Automotive Engineers | $102,320 | 286,760 | +9.1% | 64% |
| Fuel Cell Engineers | $102,320 | 286,760 | +9.1% | 64% |
| Mechanical Engineers | $102,320 | 286,760 | +9.1% | 64% |
| Electrical Engineers | $111,910 | 188,790 | +7.2% | 41% |
| Energy Engineers, Except Wind and Solar | $117,750 | 150,750 | +2.1% | 46% |
| Engineers, All Other | $117,750 | 150,750 | +2.1% | 46% |
| Mechatronics Engineers | $117,750 | 150,750 | +2.1% | 46% |
| Microsystems Engineers | $117,750 | 150,750 | +2.1% | 46% |
| Nanosystems Engineers | $117,750 | 150,750 | +2.1% | 46% |
| Photonics Engineers | $117,750 | 150,750 | +2.1% | 46% |
| Robotics Engineers | $117,750 | 150,750 | +2.1% | 46% |
| Solar Energy Systems Engineers | $117,750 | 150,750 | +2.1% | 46% |
| Wind Energy Engineers | $117,750 | 150,750 | +2.1% | 46% |
| Electronics Engineers, Except Computer | $127,590 | 93,940 | +6.2% | 38% |
| Radio Frequency Identification Device Specialists | $127,590 | 93,940 | +6.2% | 38% |
| Computer Hardware Engineers | $155,020 | 75,710 | +7.3% | 32% |
| Aerospace Engineers | $134,830 | 68,440 | +6.1% | 52% |
| Environmental Engineers | $104,170 | 37,950 | +3.9% | 50% |
| Fire-Prevention and Protection Engineers | $109,660 | 23,220 | +4.4% | 62% |
| Health and Safety Engineers, Except Mining Safety Engineers and Inspectors | $109,660 | 23,220 | +4.4% | 62% |
| Materials Engineers | $108,310 | 22,770 | +5.7% | 32% |
| Bioengineers and Biomedical Engineers | $106,950 | 21,860 | +5.2% | 54% |
| Chemical Engineers | $121,860 | 20,330 | +2.6% | 35% |
| Petroleum Engineers | $141,280 | 18,970 | +1.3% | 43% |
| Nuclear Engineers | $127,520 | 14,740 | -1.1% | 48% |
| Marine Engineers and Naval Architects | $105,670 | 8,440 | +5.8% | 40% |
| Mining and Geological Engineers, Including Mining Safety Engineers | $101,020 | 6,770 | +0.7% | 50% |
| Agricultural Engineers | $84,630 | 1,680 | +5.9% | 33% |
AI exposure across this group
Two published studies estimate how exposed each occupation is to AI. The OpenAI "GPTs are GPTs" study rates the share of an occupation's tasks an LLM (with tools) could speed up by half or more; averaged across this group it is 47% — 82nd percentile of the 98 groups. The independent Felten/Raj/Seamans AI Occupational Exposure index averages 1.02 here.
Exposure measures where AI could assist tasks — it is not a prediction that these jobs will be automated. High exposure often means augmentation (faster work), and many high-exposure occupations are also projected to grow.
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Engineers." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026. https://singulariki.com/occupation-groups/engineers
Singulariki. (2026). Engineers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/occupation-groups/engineers
@misc{singulariki-engineers,
title = {Engineers},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026},
url = {https://singulariki.com/occupation-groups/engineers}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.