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Materials Engineers

Architecture and Engineering · SOC 17-2131

0.0% AI Exposure — Low
$112,860
Median Annual Salary
Average
O*NET Outlook
1,700
Proj. Annual Openings
22,770
Employment (OEWS 2025)
-2.7%/yr
Empl. growth (2019–2025)
100/100
AI Resiliency Score

AI exposure from the Anthropic Economic Index (2025); salary from BLS; skills from O*NET. See /sources.

Decision card

Career Evidence Passport

SOC 17-2131 evidence across exposure, wages, projections, postings, certified LCAs, skills, and transitions.

Proxy / seed data labeledDescriptive-only
SOC exposure
0.0%
Low · Anthropic AEI
Automation friction
50/100
Moderate friction; broad SOC seed ORS job-requirements coverage.
Wages
$112,860
H-1B offered wage $114,800; LCAs are filings.
Projected openings
1,700
BLS EP 2024–2034; employment change +5.7%.
Observed/proxy demand
1,963
FY2025 certified LCAs; 2,676 postings in 2025.

Skill evidence

Reading ComprehensionActive ListeningScienceComplex Problem SolvingCritical Thinking

Transition context

  • H-1B values are certified Labor Condition Applications, not visa approvals.
  • Job postings are seed-static / seed-derived; treat as provider-ready proxy coverage until observed provider data is wired in.
  • Transition matches are directional skill-overlap context, not placement guarantees.
  • This release is a FutureGrid broad-SOC seed derived from public BLS ORS requirement concepts and categories, not direct occupation-level ORS survey estimates. It describes job requirements, not worker ability, AI capability, or displacement probability. Automation friction is a FutureGrid derived score and should be read alongside exposure, demand, wage, and projection signals.

AI Exposure Analysis

AI Exposure0.0%
AI Resiliency100/100
Exposure BandLow
Sector Avg. Exposure4.5%

Across AI measures

Multiple exposure lenses for this occupation.

45.7%
Consensus
Actual adoption · Anthropic0%
AI capability · OpenAI48.8%
AI ability · AIOE88.3%
Automation baseline (2013) · Frey & Osborne2.1%

AI could do ~48.8% of this role but only ~0% is currently done with AI — a large capability-vs-adoption gap.

Top Skills

1.Reading Comprehension
2.Active Listening
3.Science
4.Complex Problem Solving
5.Critical Thinking

H-1B Visa Sponsorship Demand

View full H-1B trends →

Certified H-1B Labor Condition Applications naming this occupation, FY2016–FY2025. A descriptive high-skill labor-demand signal — employer filings, not visa approvals or individual outcomes. Note: one LCA can cover multiple worker positions.

14,127
Decade Total (Certified LCAs)
1,963
FY2025 Volume
0% of all H-1B filings in FY2025
$114,800
Median Offered Wage (Latest Year)
#44 of 776
Rank by Total Volume
H-1B filing volume, FY2016–FY2025

O*NET occupation profile

What this work involves

Evaluate materials and develop machinery and processes to manufacture materials for use in products that must meet specialized design and performance specifications. Develop new uses for known materials. Includes those engineers working with composite materials or specializing in one type of material, such as graphite, metal and metal alloys, ceramics and glass, plastics and polymers, and naturally occurring materials. Includes metallurgists and metallurgical engineers, ceramic engineers, and welding engineers.

Common titles: Extrusion Engineer, Materials Development Engineer, Materials Engineer, Materials Research Engineer, Metallurgical Engineer, Metallurgist

Representative Tasks

  • Analyze product failure data and laboratory test results to determine causes of problems and develop solutions.
  • Design and direct the testing or control of processing procedures.
  • Monitor material performance, and evaluate its deterioration.
  • Conduct or supervise tests on raw materials or finished products to ensure their quality.
  • Evaluate technical specifications and economic factors relating to process or product design objectives.

Detailed Work Activities

  • Conduct quantitative failure analyses of operational data.
  • Direct quality control activities.
  • Monitor the productivity or efficiency of industrial operations.
  • Evaluate technical data to determine effect on designs or plans.
  • Test characteristics of materials or structures.

Tools & Technologies

Microsoft PowerPoint · hotAutodesk AutoCAD · hotDassault Systemes SolidWorks · hotMicrosoft Access · hotMicrosoft Visual Basic · hotOracle Database · hotThe MathWorks MATLAB · hotANSYS MultiphysicsDassault Systemes CATIAFormula translation/translator FORTRAN

Employment Projections & AI Exposure

15
Occupations Shown
4.5%
Avg AI Exposure
2
Bright Outlook
Horizontal bar chart showing occupations with the highest projected annual openings. Each bar length represents annual projected openings. Color uses a gradient from violet (lower) to cyan (higher). Summary statistics are shown above the chart.

Employment & Wage Trend

BLS OEWS, 2019–2025


Occupation Employment & Wage TrendMulti-year BLS OEWS history for SOC 17-2131: 2019 — employment: 26,820, median wage: $93,360; 2020 — employment: 24,740, median wage: $95,640; 2021 — employment: 21,530, median wage: $98,300; 2022 — employment: 21,510, median wage: $100,140; 2023 — employment: 24,630, median wage: $104,100; 2025 — employment: 22,770, median wage: $112,860.

Source: U.S. Bureau of Labor Statistics Occupational Employment and Wage Statistics (OEWS). See /sources.

Sector Comparison

MetricThis CareerSector Average
AI Exposure0.0%4.5%
OutlookAverage15% Bright
Median Salary$112,860N/A
AI Resiliency100/100N/A