AI Supply Chain Optimization Engineer.
Austin.
$147,000
median salary, 5% above the national average
$110,000 to $187,000. Last updated April 2026.
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Data points to own the conversation.
AI Supply Chain Optimization Engineer pay in Austin ranges from $110,000 to $187,000 in 2026. The median is $147,000, 5% above the national average. Austin has transformed into one of America's fastest growing tech hubs, attracting relocations from Apple, Tesla, Oracle, and Samsung. Every dollar in that range is negotiable if you come prepared.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $132,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$96,000
to $118,000
Mid (3-5 yrs)
$125,000
to $154,000
Senior (6-9 yrs)
$162,000
to $191,000
Lead (10+ yrs)
$184,000
to $228,000
Salary trend
+7% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $63,000 to the total package.
Base
$147,000
Equity
$38,000
Bonus
$16,000
Signing
$9,000
Estimated total: $210,000
How Austin compares
Austin, TX
$147,000
Cost of living: 3% above average
National Average
$140,000
Austin is $7,000 above
AI Supply Chain Optimization Engineer salary by city
Salary by role in Austin
What you should know
If you are interviewing for AI Supply Chain Optimization Engineer roles in Austin, here is what you are walking into. Austin has transformed into one of America's fastest growing tech hubs, attracting relocations from Apple, Tesla, Oracle, and Samsung. The city's combination of no state income tax, a vibrant startup scene, and a strong university pipeline makes it highly competitive. Salaries have risen sharply over the past five years, narrowing the gap with coastal cities. Compensation reflects the ability to apply ML to complex supply chain problems including demand forecasting, inventory optimization, and logistics network design. Engineers who can reduce supply chain costs by measurable percentages through AI-driven decisions earn premiums. Experience with operations research combined with ML provides the most valued skill combination.
Junior supply chain AI engineers start at $90,000 to $110,000. Mid-level engineers building production forecasting systems reach $130,000 to $158,000. Senior engineers designing network-wide optimization platforms earn $165,000 to $200,000. Directors of supply chain AI at major retailers or manufacturers can reach $220,000 to $280,000. In Austin, 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. Performance bonuses of 12% to 20% tied to cost reduction or service level improvements are common. Equity at supply chain tech companies adds $15,000 to $55,000 annually. Benefits at large retailers and manufacturers include comprehensive packages and product discounts. And on the tax side: texas has no state income tax, which can mean 5 to 10% more take home pay compared to California roles. Property taxes are above average, however, running about 1.8% of home value. When someone quotes you $147,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Use the no income tax advantage as a negotiation lever. Ask employers to match 90% of a Bay Area offer and show that your net pay will actually be higher. The range for AI Supply Chain Optimization Engineers in Austin runs from $110,000 to $187,000. 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 Prompt Engineer in Austin earns $146,000 (1% less)
- The highest-paying role in Austin is Distinguished Engineer at $337,000
Common questions.
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