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Marine Engineers and Naval Architects

Occupation · SOC 17-2121.00

Design, develop, and evaluate the operation of marine vessels, ship machinery, and related equipment, such as power supply and propulsion systems.

Also called: Marine Engineer · Marine Surveyor · Naval Architect · Naval Architect Specialist · Marine Architect · Marine Design Engineer · Marine Engineering Consultant · Marine Structural Designer · Ship Equipment Engineer · Structural Engineer · Architect Specialist · Automation Engineer

Job family: Architecture and Engineering Occupations

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A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-17-2121-00/context.md directly.

AI work map

A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.

62nd-percentile task overlap — yet about 600 openings a year (+5.8% projected, BLS) . What exposure means →

AI & job outlook

What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.

Exposure to current AI

Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.

Measure Rank vs all occupations Percentile Score
Overall AI exposure (Felten et al.) Moderate 61st 0.5
LLM task exposure, γ (OpenAI / Eloundou) Moderate 59th 0.7
AI assistant applicability (Microsoft) High 68th 0.2

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.4), and including AI-powered software (γ 0.7). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

Most of this job's tasks can be done remotely (Dingel–Neiman), which tends to track with higher digital and AI exposure.

Historical automation estimate (2013)

A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.

Frey–Osborne probability 0.0 · 7th percentile among occupations · Low

How AI is actually used in this job

Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.

Prepare plans, estimates, design and construction schedules, and contract specifications, including any special provisions. 1.1%
Confer with research personnel to clarify or resolve problems and to develop or modify designs. 0.7%
Prepare, or direct the preparation of, product or system layouts and detailed drawings and schematics. 0.4%
Analyze data to determine feasibility of product proposals. 0.3%
Prepare technical reports for use by engineering, management, or sales personnel. 0.3%

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook About average · +5.8% by 2034
Projected annual openings 600
Employment 2024 → 2034 8,500 → 9,000

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Where this work sits on the global GenAI gradient

The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

32% mean task exposure (2025)
61st percentile of 427 placed occupations
+2 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Mechanical Engineers · 2144 32% Not exposed

Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.

Tasks

All 30 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Emerging tasks

Newer responsibilities O*NET has flagged as growing for this occupation.

  • Develop plans for safely drydocking vessels, including structural integrity, block loading, and stability.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

Engineering and Technology 4.3
Mechanical 4.2
Design 4.0
English Language 4.0
Transportation 3.7
Mathematics 3.6
Physics 3.6
Building and Construction 3.6
Computers and Electronics 3.5

Abilities

Deductive Reasoning 4.3
Oral Comprehension 4.0
Written Comprehension 4.0
Oral Expression 4.0
Written Expression 4.0
Problem Sensitivity 4.0
Inductive Reasoning 4.0
Information Ordering 4.0
Category Flexibility 3.8
Mathematical Reasoning 3.8
Visualization 3.8
Originality 3.6
Near Vision 3.6
Speech Clarity 3.6
Fluency of Ideas 3.5
Flexibility of Closure 3.5

Essential skills

Critical Thinking 4.1
Reading Comprehension 3.9
Active Listening 3.8
Writing 3.8
Speaking 3.8
Mathematics 3.6
Science 3.5
Active Learning 3.5
Monitoring 3.4

Transferable skills

Complex Problem Solving 4.1
Judgment and Decision Making 3.8
Operations Monitoring 3.5
Time Management 3.5
Coordination 3.4
Quality Control Analysis 3.4

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Showing the top 40 of 42.

Tools & technology

Example Category
Autodesk AutoCAD Computer aided design CAD software Hot technology In demand
Microsoft Excel Spreadsheet software Hot technology In demand
Microsoft Office software Office suite software Hot technology In demand
Microsoft PowerPoint Presentation software Hot technology In demand
Adobe Acrobat Document management software Hot technology
Dassault Systemes SolidWorks Computer aided design CAD software Hot technology
Microsoft Access Data base user interface and query software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft Project Project management software Hot technology
Microsoft Word Word processing software Hot technology
SAP software Enterprise resource planning ERP software Hot technology
The MathWorks MATLAB Analytical or scientific software Hot technology
Zoom Video conferencing software Hot technology
McNeel Rhinoceros 3D Graphics or photo imaging software In demand
AeroHydro MultiSurf Computer aided design CAD software
ANSYS AQWA Analytical or scientific software
ANSYS ASAS Analytical or scientific software
Ansys Fluent Analytical or scientific software
Autodesk Algor Simulation Analytical or scientific software
Bentley STAAD Computer aided design CAD software
Creative System GHS Analytical or scientific software
Herbert Software Solutions HECSALV Analytical or scientific software
HydroComp NavCad Analytical or scientific software
IBM Lotus 1-2-3 Spreadsheet software
Intergraph SmartMarine 3D Computer aided design CAD software
MAYA Nastran Analytical or scientific software
MSC Software Nastran Analytical or scientific software
Oracle Primavera Systems Project management software
Proteus Engineering FastShip Analytical or scientific software
PTC Creo Parametric Computer aided design CAD software
PTC Pro/Pipe Computer aided design CAD software
Seasafe Marine Software Seasafe Analytical or scientific software
Seaworthy Systems Shipboard Automated Maintenance Management SAMM Facilities management software
ShipConstructor Computer aided design CAD software
Siemens NX Computer aided design CAD software
Siemens Solid Edge Computer aided design CAD software
Strand7 Analytical or scientific software
Structural Dynamics StruCAD*3D Computer aided design CAD software
Tension Technology International OPTIMOOR Analytical or scientific software
The Napa Group NAPA Computer aided design CAD software

Work context

How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.

E-Mail 4.7
Face-to-Face Discussions with Individuals and Within Teams 4.7
Telephone Conversations 4.5
Importance of Being Exact or Accurate 4.3
Determine Tasks, Priorities and Goals 4.1
Impact of Decisions on Co-workers or Company Results 4.1
Contact With Others 4.0
Indoors, Environmentally Controlled 3.9
Freedom to Make Decisions 3.8
Work With or Contribute to a Work Group or Team 3.7
Consequence of Error 3.7
Time Pressure 3.7
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 3.6
Coordinate or Lead Others in Accomplishing Work Activities 3.5
Spend Time Sitting 3.4
Outdoors, Exposed to All Weather Conditions 3.4
Indoors, Not Environmentally Controlled 3.3
Importance of Repeating Same Tasks 3.3
Outdoors, Under Cover 3.3
Deal With External Customers or the Public in General 3.3
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.3
Exposed to Cramped Work Space, Awkward Positions 3.3
Written Letters and Memos 3.2
Health and Safety of Other Workers 3.2
Physical Proximity 3.2
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 3.1
Frequency of Decision Making 3.1
Exposed to Hazardous Equipment 3.0
Work Outcomes and Results of Other Workers 2.9
Level of Competition 2.9
Exposed to Very Hot or Cold Temperatures 2.9
Exposed to Extremely Bright or Inadequate Lighting Conditions 2.9
Exposed to Contaminants 2.9
Spend Time Standing 2.8
Exposed to High Places 2.7
Exposed to Hazardous Conditions 2.7
Spend Time Making Repetitive Motions 2.6
In an Enclosed Vehicle or Operate Enclosed Equipment 2.6
Spend Time Bending or Twisting Your Body 2.5
Spend Time Kneeling, Crouching, Stooping, or Crawling 2.4

How to get in

Job zone
Zone 4 — Job Zone Four: Considerable Preparation Needed
Education
Most of these occupations require a four-year bachelor's degree, but some do not.
Typical entry-level education
Bachelor's degree · BLS, the typical path — not a requirement
Related experience
A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be considered qualified.
Preparation level
SVP (7.0 to < 8.0) — total schooling plus on-the-job experience.

What to study: Engineering . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Education of current workers

Share of people in this occupation at each level of education.

Bachelor's Degree 52.6%
Post-Secondary Certificate 15.8%
Some College Courses 10.5%
First Professional Degree 10.5%
High School Diploma 5.3%
Associate's Degree (or other 2-year degree) 5.3%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Work styles

Dependability 7.0
Attention to Detail 6.0
Integrity 5.0
Cautiousness 4.0
Intellectual Curiosity 3.0

Interest areas

Engineering 6.6
Mechanics/Electronics 4.6
Mathematics/Statistics 4.5
Physical Science 3.5
Management/Administration 2.9
Transportation/Machine Operation 2.4

Career interests (Holland / RIASEC)

Realistic 5.7
Investigative 5.7
Conventional 4.3
Enterprising 3.3
Artistic 2.6

Wages & employment

U.S. · annual wages (BLS OEWS)

$80k10th$88k25th$106kMedian$134k75th$168k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
9k20249k2034 (proj.)+5.8% · About average
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $79,700
25th percentile $88,480
Median (50th) $105,670
75th percentile $133,780
90th percentile $167,660
People employed 8,440

Industries that employ this occupation

Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.

Industry Workers National median pay
Manufacturing · Sector 4,430 $101,820
Professional, Scientific, and Technical Services · Sector 2,290 $110,680
Engineering Services · National industry 1,660 $110,800
Transportation and Warehousing · Sector 380 $106,500
Management of Companies and Enterprises · Sector 90 $126,780
Educational Services · Sector 40 $89,390
Construction · Sector $100,810
Wholesale Trade · Sector $143,170

Where this work is most concentrated

Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).

Industry Concentration Workers
Engineering Services · National industry 26.23× 1,660
Manufacturing · Sector 6.34× 4,430
Professional, Scientific, and Technical Services · Sector 3.88× 2,290
Transportation and Warehousing · Sector 0.94× 380

Part of the Supply Chain & Transportation career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Marine Engineers and Naval Architects sits at the 62nd percentile of AI task-overlap and the 87th percentile of median pay, placed here against 12 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Marine Engineers and Naval Architects Motorboat Mechanics and Service Technicians Ship Engineers Avionics Technicians Electrical and Electronic Engineering Technologists and Technicians Mechanical Engineering Technologists and Technicians Civil Engineers Civil Engineering Technologists and Technicians Aerospace Engineers AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for Marine Engineers and Naval Architects — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Skills that travel

Capabilities this work builds that are used across many other occupations.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 61st percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Marine Engineers and Naval Architects show 62nd-percentile AI task overlap — and about 600 annual U.S. openings

  • Marine Engineers and Naval Architects rank in the 62nd percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
  • The occupation is projected to see about 600 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
  • BLS projects employment to be about average (+5.8%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $105,670, across about 8,440 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Marine Engineers and Naval Architects show 62nd-percentile AI task overlap — and about 600 annual U.S. openings

• Marine Engineers and Naval Architects rank in the 62nd percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE)
• The occupation is projected to see about 600 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34)
• BLS projects employment to be about average (+5.8%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $105,670, across about 8,440 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Marine Engineers and Naval Architects". https://singulariki.com/roles/role-17-2121-00
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.

AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom

Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.

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. "Marine Engineers and Naval Architects." 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/roles/role-17-2121-00

APA

Singulariki. (2026). Marine Engineers and Naval Architects. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-17-2121-00

BibTeX
@misc{singulariki-role-17-2121-00,
  title  = {Marine Engineers and Naval Architects},
  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/roles/role-17-2121-00}
}

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

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