Supply Chain AI Optimization Engineer Salary.
Across 81 U.S. cities.
$205,000
national median salary
$160,000 to $267,000. Last updated August 2026.
Government benchmark for this occupation
The US Bureau of Labor Statistics reports a median annual wage of $88,940 for Operations Research Analysts (SOC 15-2031) across the United States, based on 108,510 employed workers (May 2025 release).
10th percentile
$57,060
25th percentile
$68,360
Median
$88,940
75th percentile
$125,990
90th percentile
$159,910
Workers surveyed
108,510
What BLS published in each release
May 2024 release
$91,290
May 2025 release
$88,940
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.
Why this differs from the estimate above. The Orbyt estimate of $205,000 is 130% higher than this published figure. That is usually not an error in either number: BLS reports by occupation code, and Operations Research Analysts covers a different population than the Supply Chain AI Optimization Engineer title as it is typically advertised. Both are shown, unreconciled, so you can judge which one describes the job you mean.
BLS publishes wages by occupation code, not by job title, so this figure covers every role mapped to Operations Research Analysts (SOC 15-2031) rather than Supply Chain AI Optimization Engineerspecifically. 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 15-2031Highest Paying
$286,000
San Jose, CA
Best Purchasing Power
$214,000
Newark, NJ
Lowest Paying
$154,000
Charleston, WV
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 August 2026. This role maps to BLS occupation code 15-2031. Full methodology.
Orbyt estimates the average Supply Chain AI Optimization Engineer salary in the United States at $205,000 in 2026, within a range of $160,000 to $267,000. 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. San Jose is the highest of the 81 cities at $286,000, while Newark offers the best purchasing power after cost-of-living adjustments. The gap between theoretical knowledge and production deployment experience is the single largest salary differentiator.
Supply Chain AI Optimization Engineer salary by city.
Skills that increase Supply Chain AI Optimization Engineer pay.
The skills below command measurable salary premiums for Supply Chain AI Optimization Engineers based on job posting data. Learning the top skill here could add $28,700 to your annual compensation.
≈ +$28,700 per year
≈ +$26,650 per year
≈ +$24,600 per year
≈ +$22,550 per year
≈ +$20,500 per year
≈ +$20,500 per year
≈ +$20,500 per year
≈ +$18,450 per year
What you should know.
The gap between theoretical knowledge and production deployment experience is the single largest salary differentiator. Supply Chain AI Optimization Engineers who can optimize inference costs, reduce model latency, and handle scale reliably earn significantly more. Published research or open source contributions to widely adopted frameworks create additional leverage in negotiations.
Entry-level Supply Chain AI Optimization Engineers start near $160,000. Mid-career professionals with three to five years of experience reach $205,000 to $267,000. Senior-level roles command $262,000 to $318,000. Management transitions to director-level positions offer $338,000 and above.
Equity at top-tier companies adds 30% to 60% above base salary. Annual bonuses of 15% to 25% are standard. Signing bonuses of $25,000 to $75,000 are common when changing roles. Refresher equity grants vest annually. Relocation packages and executive benefits like financial planning are typical.
Total compensation breakdown.
Salary by company size
Remote salary adjustment
Remote Supply Chain AI Optimization Engineers typically earn $191,000 (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.
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Common questions about Supply Chain AI Optimization Engineer pay.
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