AI Energy Efficiency Engineer.
Richmond.
$166,000
median salary, 1% below the national average
$124,000 to $218,000. Last updated April 2026.
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Data points to own the conversation.
If you are evaluating a AI Energy Efficiency Engineer offer in Richmond, VA, here is the reality: $124,000 to $218,000, with $166,000 as the midpoint. 1% below the national average. Pay depends on demonstrated ability to reduce compute costs while maintaining model performance. Do not accept the first number.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $149,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$108,000
to $133,000
Mid (3-5 yrs)
$141,000
to $174,000
Senior (6-9 yrs)
$183,000
to $216,000
Lead (10+ yrs)
$208,000
to $257,000
Salary trend
+8% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $69,000 to the total package.
Base
$166,000
Equity
$42,000
Bonus
$17,000
Signing
$10,000
Estimated total: $235,000
How Richmond compares
Richmond, VA
$166,000
Cost of living: 1% above average
National Average
$168,000
Richmond is $2,000 below
AI Energy Efficiency Engineer salary by city
Salary by role in Richmond
What you should know
Here is what the AI Energy Efficiency Engineer market actually looks like in Richmond. Richmond combines a strong government and defense sector with growing technology and financial services industries. Capital One's headquarters drives significant fintech employment. The city's proximity to Washington DC creates spillover demand for federal contractors and tech workers seeking lower living costs. Pay depends on demonstrated ability to reduce compute costs while maintaining model performance. Engineers who achieve significant efficiency gains through quantization, pruning, or architectural optimization command premiums. Data center experience and knowledge of carbon accounting frameworks add 10% to 15% to base offers.
Junior efficiency engineers start near $125,000 implementing standard optimization techniques. Mid-level engineers designing custom compression and distillation pipelines earn $166,000 to $190,000. Senior architects setting efficiency strategy across AI infrastructure reach $220,000 to $265,000. In Richmond, 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. Green tech companies offer equity with strong growth potential. Annual bonuses of 10% to 15% are standard, with some firms offering sustainability milestone bonuses tied to measurable energy reduction targets. And on the tax side: virginia's top income tax rate is 5.75%. Richmond has no city income tax. The moderate rate and reasonable cost of living create solid net compensation. When someone quotes you $166,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Leverage DC corridor salary benchmarks. Richmond employers compete with Northern Virginia and DC for talent, especially in fintech and government contracting. The range for AI Energy Efficiency Engineers in Richmond runs from $124,000 to $218,000. 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 Ethics Officer in Richmond earns $165,000 (1% less)
- The highest-paying role in Richmond is Chief AI Officer at $316,000
Common questions.
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