Materials Engineers vs Nanotechnology Engineering Technologists and Technicians
Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index
A factual, source-backed comparison of Materials Engineers and Nanotechnology Engineering Technologists and Technicians on the dimensions both occupations carry. Every figure is a position within an independent published dataset — not a verdict on which job is better, safer, or more “future-proof.”
At a glance
| Dimension | Materials Engineers | Nanotechnology Engineering Technologists and Technicians |
|---|---|---|
| Median pay | $108,310 | $64,790 |
| Employment | 22,770 | 73,410 |
| Employment outlook (2024–34) · BLS projection | About average (+5.7%) | About average (+1.7%) |
| Annual openings · BLS projection | 1,500 | 6,300 |
| Typical education · O*NET | Most of these occupations require a four-year bachelor's degree, but some do not. | Most of these occupations require a four-year bachelor's degree, but some do not. |
| AI exposure · published exposure studies | Moderate · 62nd pct | Moderate · 60th pct |
| Global GenAI gradient · ILO ISCO-08 · via crosswalk | 56th pct · 30% of tasks | 47th pct · 26% of tasks |
| Observed AI use · Anthropic Economic Index | — | — |
| Mostly remote-capable · Dingel–Neiman | No | No |
Pay and employment are BLS OEWS estimates; outlook and openings are BLS 2024–2034 projections; AI exposure and observed-use figures come from separate research and reflect exposure and usage, not predictions that either job will disappear. Compare like with like.
Skills
Shared: Engineering and Technology, Chemistry, Physics, Production and Processing, Mathematics, Reading Comprehension, Active Listening, Science, Complex Problem Solving, Oral Comprehension, Written Comprehension, Oral Expression, Deductive Reasoning, Inductive Reasoning, Category Flexibility, Critical Thinking, Written Expression, Problem Sensitivity, English Language, Writing, Speaking, Mathematics, Information Ordering, Mathematical Reasoning, Near Vision, Computers and Electronics, Active Learning, Judgment and Decision Making, Perceptual Speed, Speech Recognition, Speech Clarity, Monitoring.
Specific to Materials Engineers
- Design
- Fluency of Ideas
- Originality
- Flexibility of Closure
- Visualization
- Instructing
- Service Orientation
- Operations Analysis
Specific to Nanotechnology Engineering Technologists and Technicians
- Education and Training
- Selective Attention
- Operations Monitoring
- Troubleshooting
- Systems Analysis
- Repairing
- Number Facility
- Arm-Hand Steadiness
Knowledge, skills & abilities O*NET rates as important for each occupation. “Shared” are common to both; the columns list what is distinctive to each (top by the order O*NET surfaces).
Tools & technology
Shared: Spreadsheet software , Office suite software , Presentation software , Data base user interface and query software , Word processing software , Analytical or scientific software , Graphics or photo imaging software .
Specific to Materials Engineers
Specific to Nanotechnology Engineering Technologists and Technicians
Full profiles
This page is a summary. See the complete source-backed profile for Materials Engineers or Nanotechnology Engineering Technologists and Technicians — tasks, the full skill graph, tools, work context, preparation, wages by percentile, industries, AI exposure and the AI work map.
More comparisons
Related occupations you can place side by side on the same sourced scale.
- Materials Engineers vs Materials Scientists
- Materials Engineers vs Chemical Engineers
- Materials Engineers vs Manufacturing Engineers
- Materials Engineers vs Industrial Engineers
- Materials Engineers vs Mechanical Engineers
- Materials Engineers vs Nanosystems Engineers
- Materials Engineers vs Commercial and Industrial Designers
- Materials Engineers vs Electrical Engineers
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
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Materials Engineers vs Nanotechnology Engineering Technologists and Technicians." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/compare/materials-engineers-vs-nanotechnology-engineering-technologists-and-technicians
Singulariki. (2026). Materials Engineers vs Nanotechnology Engineering Technologists and Technicians. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/materials-engineers-vs-nanotechnology-engineering-technologists-and-technicians
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title = {Materials Engineers vs Nanotechnology Engineering Technologists and Technicians},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/compare/materials-engineers-vs-nanotechnology-engineering-technologists-and-technicians}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.