AI Energy Optimizer Salary.
Across 81 U.S. cities.
$133,000
estimated national base salary
$99,000 to $174,000. Last updated September 2026.
Orbyt prices 294 titles at this same figure, including Machine Learning Engineer, AI Engineer, and ML Engineer. Orbyt does not hold title-level wage data that would separate them.
Government benchmark for this occupation
The US Bureau of Labor Statistics reports a median annual wage of $135,980 for Software Developers (SOC 15-1252) across the United States, based on 1,687,890 employed workers (May 2025 release).
10th percentile
$82,460
25th percentile
$105,210
Median
$135,980
75th percentile
$171,980
90th percentile
$214,670
Workers surveyed
1,687,890
What BLS published in each release
May 2024 release
$133,080
May 2025 release
$135,980
These are two separate published estimates, not a time series. The Bureau of Labor Statistics does not encourage the use of OEWS data for time-series analysis. Differences between releases reflect changes in occupational classification, survey methodology, and the three-year pooled sample as well as any change in pay, so the two figures should not be read as a rate of wage growth.
BLS publishes wages by occupation code, not by job title, so this figure covers every role mapped to Software Developers (SOC 15-1252) rather than AI Energy Optimizer specifically. The national range at the top of this page is Orbyt’s role-level estimate, which is a different thing and is labelled as such.
View the BLS source for SOC 15-1252Highest Paying
$182,000
San Jose, CA
Best Purchasing Power
$139,000
Phoenix, AZ
Lowest Paying
$106,000
Wichita, KS
The salary figures on this page are computed estimates, not observed wages. Each one is a national role baseline scaled by a Bureau of Economic Analysis Regional Price Parity cost-of-living multiplier (2025 index) and rounded to the nearest $1,000. No published wage percentile is consulted and no wage survey response enters the calculation, so an Orbyt estimate must not be cited as a Bureau of Labor Statistics figure or as measured pay. The published wage data Orbyt holds is Bureau of Labor Statistics Occupational Employment and Wage Statistics, and Department of Labor H-1B Labor Condition Application filings, which record a filed minimum visa base wage rather than market pay. Where BLS publishes a wage for the occupation a role maps to, it is shown on that role's page as a separate benchmark, labelled with its occupation code, metro area and the number of employed workers it covers. Last updated September 2026. This role maps to BLS occupation code 15-1252. Full methodology.
Orbyt estimates the average AI Energy Optimizer salary in the United States at $133,000 in 2026, within a range of $99,000 to $174,000. These figures are Orbyt estimates, computed rather than measured, and must not be cited as Bureau of Labor Statistics figures; the published BLS wage for the occupation this role maps to is shown separately on this page. This figure is not specific to this title: Orbyt prices 294 titles at the same estimate. San Jose is the highest of the 81 cities at $182,000, while Phoenix offers the best purchasing power after cost-of-living adjustments. Expertise in applying ML to energy grid optimization, demand forecasting, and renewable integration drives compensation.
AI Energy Optimizer salary by city.
Skills that increase AI Energy Optimizer pay.
The premiums below are Orbyt's modelled scenarios for AI Energy Optimizers, not effects measured from job postings: each is a fixed percentage applied to the estimated base. At the top premium that works out to $18,620 a year.
≈ +$18,620 per year
≈ +$17,290 per year
≈ +$15,960 per year
≈ +$14,630 per year
≈ +$13,300 per year
≈ +$13,300 per year
≈ +$13,300 per year
≈ +$11,970 per year
What you should know.
Expertise in applying ML to energy grid optimization, demand forecasting, and renewable integration drives compensation. Engineers who can build models that reduce energy costs by measurable percentages command premiums. Domain knowledge of electricity markets, battery storage optimization, or building energy management adds significant value.
Junior energy AI engineers start at $90,000 to $105,000. Mid-level optimizers building production forecasting systems reach $125,000 to $150,000. Senior engineers designing grid-scale optimization platforms earn $160,000 to $195,000. Directors of AI at energy companies can reach $210,000 to $260,000.
Equity at clean energy AI startups adds $15,000 to $50,000 annually. Performance bonuses of 10% to 20% are often tied to quantifiable energy savings or efficiency improvements. Some utilities offer pension benefits and stability uncommon in tech.
Total compensation breakdown.
Salary by company size
Remote salary adjustment
Remote AI Energy Optimizers typically earn $124,000 (7% less than on-site). This reflects location-adjusted pay policies at companies using geographic salary bands. Some companies pay flat national rates regardless of location.
Are you an AI Energy Optimizer?
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Common questions about AI Energy Optimizer pay.
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