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Nanosystems Engineers vs Materials Engineers

Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index

A factual, source-backed comparison of Nanosystems Engineers and Materials Engineers 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.”

Nanosystems Engineers Materials Engineers
Median pay · BLS OEWS
$117,750
$108,310
Employment · BLS OEWS
150,750
22,770
AI exposure (percentile) · task overlap, not automation
71st pct
62nd pct

At a glance

Dimension Nanosystems Engineers Materials Engineers
Median pay $117,750 $108,310
Employment 150,750 22,770
Employment outlook (2024–34) · BLS projection About average (+2.1%) About average (+5.7%)
Annual openings · BLS projection 9,300 1,500
Typical education · O*NET Most of these occupations require graduate school. For example, they may require a master's degree, and some require a Ph.D., M.D., or J.D. (law degree). Most of these occupations require a four-year bachelor's degree, but some do not.
AI exposure · published exposure studies High · 71st pct Moderate · 62nd pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 57th pct · 30% of tasks 56th pct · 30% of tasks
Observed AI use · Anthropic Economic Index Augmentation-leaning (63.0%) —
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, Physics, Chemistry, Mathematics, Reading Comprehension, Speaking, Science, Critical Thinking, Oral Comprehension, Written Comprehension, Oral Expression, Deductive Reasoning, Inductive Reasoning, Near Vision, Active Listening, Writing, Mathematics, Active Learning, Complex Problem Solving, Judgment and Decision Making, Written Expression, Information Ordering, Category Flexibility, Computers and Electronics, Originality, Problem Sensitivity, Mathematical Reasoning, Flexibility of Closure, Fluency of Ideas, Speech Clarity, English Language, Monitoring, Speech Recognition, Production and Processing, Design, Operations Analysis.

Specific to Nanosystems Engineers

  • Systems Analysis
  • Education and Training
  • Systems Evaluation
  • Number Facility

Specific to Materials Engineers

  • Perceptual Speed
  • Visualization
  • Instructing
  • Service Orientation

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: Computer aided design CAD software , Spreadsheet software , Office suite software , Presentation software , Process mapping and design software , Word processing software , Data base user interface and query software , Object or component oriented development software , Enterprise resource planning ERP software , Graphics or photo imaging software , Analytical or scientific software , Development environment software .

Specific to Nanosystems Engineers

Specific to Materials Engineers

Full profiles

This page is a summary. See the complete source-backed profile for Nanosystems Engineers or Materials Engineers — 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.

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.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Nanosystems Engineers vs Materials Engineers." 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/nanosystems-engineers-vs-materials-engineers

APA

Singulariki. (2026). Nanosystems Engineers vs Materials Engineers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/nanosystems-engineers-vs-materials-engineers

BibTeX 
@misc{singulariki-nanosystems-engineers-vs-materials-engineers,
  title  = {Nanosystems Engineers vs Materials Engineers},
  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/nanosystems-engineers-vs-materials-engineers}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.