AI Energy Optimizer.
Boulder.
$161,000
median salary, 19% above the national average
$120,000 to $206,000. Last updated April 2026.
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Data points to own the conversation.
Here is what AI Energy Optimizers actually make in Boulder: $120,000 at the 25th percentile, $161,000 at the median, and $206,000 at the 75th. That is 19% above the national average. Boulder is one of America's most concentrated startup hubs per capita, with a strong presence in aerospace, natural products, and technology. The number on your offer letter will depend on what you bring and how you ask.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $145,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$105,000
to $129,000
Mid (3-5 yrs)
$137,000
to $169,000
Senior (6-9 yrs)
$177,000
to $209,000
Lead (10+ yrs)
$201,000
to $250,000
Salary trend
+8% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $79,000 to the total package.
Base
$161,000
Equity
$48,000
Bonus
$21,000
Signing
$10,000
Estimated total: $240,000
How Boulder compares
Boulder, CO
$161,000
Cost of living: 15% above average
National Average
$135,000
Boulder is $26,000 above
AI Energy Optimizer salary by city
Salary by role in Boulder
What you should know
If you are interviewing for AI Energy Optimizer roles in Boulder, here is what you are walking into. Boulder is one of America's most concentrated startup hubs per capita, with a strong presence in aerospace, natural products, and technology. The University of Colorado and national labs like NIST and NOAA drive research employment. Outdoor lifestyle attracts top talent willing to accept slightly lower salaries. 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. In Boulder, cost of living sits near the national average, so the numbers you see are roughly what you keep.
Base salary is not the full picture. 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. And on the tax side: colorado has a flat 4.4% state income tax. Boulder has no additional city income tax. The moderate rate combined with high quality of life makes it competitive despite higher housing costs. When someone quotes you $161,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Reference the startup density. Boulder employers compete fiercely for talent and often offer equity packages that rival larger metros. Negotiate total compensation, not just base. The range for AI Energy Optimizers in Boulder runs from $120,000 to $206,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.
Sources: SEC filings, H-1B LCA (DOL), BLS OES, 50+ job posting platforms. COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified April 8, 2026. Full methodology
Considering a related role?
- A AI Analytics Engineer in Boulder earns $160,000 (1% less)
- The highest-paying role in Boulder is Distinguished Engineer at $368,000
Common questions.
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