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Solar Energy Systems Engineers

Occupation · SOC 17-2199.11

Perform site-specific engineering analysis or evaluation of energy efficiency and solar projects involving residential, commercial, or industrial customers. Design solar domestic hot water and space heating systems for new and existing structures, applying knowledge of structural energy requirements, local climates, solar technology, and thermodynamics.

Also called: Power Systems Engineer · Project Engineer · Solar Design Engineer · Solar Designer · Consulting Engineer · Engineer · Photovoltaic System Designer (PV System Designer) · Research Engineer · Solar Energy Engineer · Solar Engineer · Applications Engineer · Renewable Energy Specialist

Job family: Architecture and Engineering Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-17-2199-11/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.

69th-percentile task overlap — yet about 9,300 openings a year (+2.1% 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.) High 67th 0.8
LLM task exposure, γ (OpenAI / Eloundou) High 70th 0.8
AI assistant applicability (Microsoft) High 71st 0.2

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.5), and including AI-powered software (γ 0.8). 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 · 9th percentile among occupations · Low

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 · +2.1% by 2034
Projected annual openings 9,300
Employment 2024 → 2034 158,800 → 162,100

“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.

30% mean task exposure (2025)
57th percentile of 427 placed occupations
+8 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Engineering Professionals Not Elsewhere Classified · 2149 30% 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 13 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Work activities

Knowledge, skills & abilities

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

Knowledge

Engineering and Technology 4.3
Design 4.1
Building and Construction 3.9
Mathematics 3.8
Mechanical 3.6
Computers and Electronics 3.3
Physics 3.3
Administration and Management 3.2
English Language 3.1

Essential skills

Reading Comprehension 4.0
Critical Thinking 4.0
Writing 3.9
Speaking 3.9
Active Listening 3.8
Mathematics 3.4
Science 3.3
Active Learning 3.3
Monitoring 3.3

Abilities

Written Comprehension 4.0
Written Expression 4.0
Problem Sensitivity 4.0
Deductive Reasoning 4.0
Oral Expression 3.9
Fluency of Ideas 3.9
Inductive Reasoning 3.9
Oral Comprehension 3.8
Information Ordering 3.6
Mathematical Reasoning 3.6
Originality 3.5
Category Flexibility 3.5
Near Vision 3.4
Speech Recognition 3.4
Speech Clarity 3.4

Transferable skills

Complex Problem Solving 3.9
Judgment and Decision Making 3.4
Social Perceptiveness 3.0
Coordination 3.0
Persuasion 3.0
Instructing 3.0
Systems Evaluation 3.0

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 48.

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 Outlook Electronic mail software Hot technology In demand
Microsoft PowerPoint Presentation software Hot technology In demand
Microsoft Word Word processing software Hot technology In demand
Python Object or component oriented development software Hot technology In demand
Autodesk Revit Computer aided design CAD software Hot technology
Bash Operating system software Hot technology
C++ Object or component oriented development software Hot technology
Dassault Systemes SolidWorks Computer aided design CAD software Hot technology
Google Workspace software Office suite software Hot technology
JavaScript Web platform development software Hot technology
Linux Operating system software Hot technology
Microsoft Access Data base user interface and query software Hot technology
Microsoft Project Project management software Hot technology
Microsoft Visio Process mapping and design software Hot technology
Microsoft Visual Basic Development environment software Hot technology
Microsoft Visual Basic for Applications VBA Development environment software Hot technology
R Object or component oriented development software Hot technology
Salesforce software Customer relationship management CRM software Hot technology
Structured query language SQL Data base user interface and query software Hot technology
The MathWorks MATLAB Analytical or scientific software Hot technology
Trimble SketchUp Pro Computer aided design CAD software Hot technology
Aurora HelioScope Analytical or scientific software In demand
ETAP Geographic information system In demand
PVsyst Analytical or scientific software In demand
SKM Systems Analysis Power Tools Analytical or scientific software In demand
Ansys Fluent Analytical or scientific software
Autodesk AutoCAD LT Computer aided design CAD software
Computer aided design and drafting CADD software Computer aided design CAD software
Data acquisition software Analytical or scientific software
Data visualization software Analytical or scientific software
Database software Data base user interface and query software
Debugging software Program testing software
Energy-10 Analytical or scientific software
Finite element method FEM software Analytical or scientific software
Geographic information system GIS systems Geographic information system
Global positioning system GPS software Mobile location based services software
HOMER Micropower Optimization Model Analytical or scientific software

Showing the top 40 of 57.

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.

Telephone Conversations 4.9
E-Mail 4.9
Face-to-Face Discussions with Individuals and Within Teams 4.6
Work With or Contribute to a Work Group or Team 4.3
Frequency of Decision Making 4.3
Impact of Decisions on Co-workers or Company Results 4.2
Indoors, Environmentally Controlled 4.1
Contact With Others 4.1
Freedom to Make Decisions 3.9
Importance of Being Exact or Accurate 3.9
Time Pressure 3.9
Health and Safety of Other Workers 3.8
Work Outcomes and Results of Other Workers 3.8
Outdoors, Exposed to All Weather Conditions 3.7
Consequence of Error 3.7
Coordinate or Lead Others in Accomplishing Work Activities 3.7
Indoors, Not Environmentally Controlled 3.6
Deal With External Customers or the Public in General 3.5
Determine Tasks, Priorities and Goals 3.5
Spend Time Sitting 3.4
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 3.4
Written Letters and Memos 3.3
In an Enclosed Vehicle or Operate Enclosed Equipment 3.2
Physical Proximity 3.2
Exposed to High Places 3.1
Level of Competition 3.1
Exposed to Hazardous Conditions 2.9
Wear Specialized Protective or Safety Equipment such as Breathing Apparatus, Safety Harness, Full Protection Suits, or Radiation Protection 2.9
Conflict Situations 2.9
Outdoors, Under Cover 2.8
Spend Time Standing 2.7
Exposed to Very Hot or Cold Temperatures 2.7
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 2.7
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 2.7
Exposed to Extremely Bright or Inadequate Lighting Conditions 2.6
Dealing With Unpleasant, Angry, or Discourteous People 2.5
Importance of Repeating Same Tasks 2.5
Exposed to Hazardous Equipment 2.4
Public Speaking 2.3
Spend Time Making Repetitive Motions 2.3

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 , Engineering/Engineering-Related Technologies/Technicians , Health Professions and Related Programs . 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 55.6%
Post-Secondary Certificate 11.1%
Associate's Degree (or other 2-year degree) 11.1%
High School Diploma 7.4%
Some College Courses 7.4%
Less than a High School Diploma 3.7%
First Professional Degree 3.7%

Interests & work styles

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

Career interests (Holland / RIASEC)

Realistic 6.0
Investigative 5.0
Conventional 4.0
Enterprising 3.0
Artistic 2.1
Social 1.9

Wages & employment

U.S. · annual wages (BLS OEWS)

$63k10th$86k25th$118kMedian$153k75th$184k90th
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.
159k2024162k2034 (proj.)+2.1% · 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 $62,840
25th percentile $85,750
Median (50th) $117,750
75th percentile $152,670
90th percentile $183,510
People employed 150,750

Wages and employment are reported by BLS for the broader occupation group this specialty belongs to (SOC 17-2199), not for the specialty alone.

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
Professional, Scientific, and Technical Services · Sector 37,330 $112,040
Manufacturing · Sector 36,850 $107,590
Engineering Services · National industry 16,150 $101,730
Wholesale Trade · Sector 6,470 $103,760
Administrative and Support and Waste Management and Remediation Services · Sector 6,030 $95,040
Management of Companies and Enterprises · Sector 5,210 $122,930
Information · Sector 3,800 $159,700
Temporary Help Services · National industry 3,680 $88,000
Construction · Sector 3,520 $81,570
Utilities · Sector 2,970 $118,630
Testing Laboratories and Services · National industry 2,780 $102,200
Educational Services · Sector 2,720 $98,560

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
Solar Electric Power Generation · National industry 19.8× 270
Testing Laboratories and Services · National industry 16.69× 2,780
Engineering Services · National industry 14.29× 16,150
Wind Electric Power Generation · National industry 11.33× 110
Utilities · Sector 5.24× 2,970
Nuclear Electric Power Generation · National industry 5.23× 190
Fossil Fuel Electric Power Generation · National industry 5.16× 360
Professional, Scientific, and Technical Services · Sector 3.55× 37,330

Part of the Advanced Manufacturing , Agriculture , Construction and Energy & Natural Resources career clusters.

Exposure quadrant: AI task-overlap percentile vs Median pay Solar Energy Systems Engineers sits at the 69th percentile of AI task-overlap and the 92nd 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 Solar Energy Systems Engineers Solar Thermal Installers and Technicians Solar Photovoltaic Installers Solar Energy Installation Managers Energy Auditors Wind Energy Development Managers Mechanical 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 Solar Energy Systems Engineers — 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 57th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Solar Energy Systems Engineers show 69th-percentile AI task overlap — and about 9,300 annual U.S. openings

  • Solar Energy Systems Engineers rank in the 69th percentile (High 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 9,300 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 (+2.1%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $117,750, across about 150,750 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Solar Energy Systems Engineers show 69th-percentile AI task overlap — and about 9,300 annual U.S. openings

• Solar Energy Systems Engineers rank in the 69th percentile (High 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 9,300 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 (+2.1%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $117,750, across about 150,750 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Solar Energy Systems Engineers". https://singulariki.com/roles/role-17-2199-11
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. "Solar Energy Systems 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; 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-17-2199-11

APA

Singulariki. (2026). Solar Energy Systems Engineers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-17-2199-11

BibTeX
@misc{singulariki-role-17-2199-11,
  title  = {Solar Energy Systems Engineers},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; 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-17-2199-11}
}

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

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