AI Operations Research Engineer.
Austin.
$156,000
median salary, 4% above the national average
$120,000 to $198,000. Last updated April 2026.
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Data points to own the conversation.
AI Operations Research Engineer pay in Austin ranges from $120,000 to $198,000 in 2026. The median is $156,000, 4% 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 $141,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$101,000
to $125,000
Mid (3-5 yrs)
$133,000
to $164,000
Senior (6-9 yrs)
$172,000
to $203,000
Lead (10+ yrs)
$195,000
to $242,000
Salary trend
+10% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $74,000 to the total package.
Base
$156,000
Equity
$45,000
Bonus
$20,000
Signing
$9,000
Estimated total: $230,000
How Austin compares
Austin, TX
$156,000
Cost of living: 3% above average
National Average
$150,000
Austin is $6,000 above
AI Operations Research Engineer salary by city
Salary by role in Austin
What you should know
Before you negotiate a AI Operations Research Engineer offer in Austin, understand the terrain. 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 combination of optimization expertise and ML engineering. Engineers who can solve complex scheduling, routing, and resource allocation problems using hybrid AI/OR approaches earn premiums. Experience integrating ML-based prediction with mathematical optimization for real-time decision-making is the most valued skill combination.
Junior OR engineers start at $100,000 to $120,000. Mid-level engineers building production optimization systems reach $140,000 to $168,000. Senior engineers designing enterprise optimization platforms earn $178,000 to $220,000. Directors of optimization at logistics or tech companies can reach $240,000 to $300,000. 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 optimization outcome improvements are common. Equity at logistics and operations AI companies adds $20,000 to $60,000 annually. Benefits include computing resource access and INFORMS or similar professional society memberships. 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 $156,000, 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 Operations Research Engineers in Austin runs from $120,000 to $198,000. 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 Quality Assurance Engineer in Austin earns $155,000 (1% less)
- The highest-paying role in Austin is Distinguished Engineer at $337,000
Common questions.
AI Operations Research Engineer salary in other cities
Other salaries in Austin
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