AI Infrastructure Engineer.
Austin.
$132,000
median salary, 1% below the national average
$98,000 to $172,000. Last updated August 2026.
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Data points to own the conversation.
An AI Infrastructure Engineer in Austin earns a median of $132,000 in 2026. That is 1% below the national average. The range runs from $98,000 to $172,000, and where you land depends on your experience, your skills, and how well you negotiate. Expertise in GPU cluster management, model serving optimization, and distributed training infrastructure drives compensation. 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.
Salary range.
Where do you fall?
Orbyt estimate for AI Infrastructure Engineer in Austin, modelled from national occupation wages adjusted for local cost of living. The published government benchmark for this occupation is below.
Government benchmark for this occupation
The US Bureau of Labor Statistics reports a median annual wage of $134,120 for Software Developers (SOC 15-1252) in the Austin-Round Rock-San Marcos, TX metropolitan area, based on 31,960 employed workers (May 2025 release).
10th percentile
$96,110
25th percentile
$104,000
Median
$134,120
75th percentile
$168,730
90th percentile
$209,890
Workers surveyed
31,960
BLS publishes wages by occupation code, not by job title, so this figure covers every role mapped to Software Developers (SOC 15-1252) rather than AI Infrastructure Engineer specifically. The Austin 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 15-1252Salary by experience.
The gap between entry and lead level is typically $119,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$86,000
to $106,000
Mid (3-5 yrs)
$112,000
to $139,000
Senior (6-9 yrs)
$145,000
to $172,000
Lead (10+ yrs)
$165,000
to $205,000
Total compensation.
Base salary is not the full picture. Equity, bonus, and signing can add $55,000 to the total package.
Base
$132,000
Equity
$33,000
Bonus
$14,000
Signing
$8,000
Estimated total: $187,000
AI Infrastructure Engineer salary by company.
Total compensation estimates include base, equity, bonus, and signing. Ranges reflect mid to senior level. Derived from public H-1B LCA filings (DOL).
How Austin compares.
Austin, TX
$132,000
Cost of living: 3% above average
National Average
$133,000
Austin is $1,000 below
AI Infrastructure Engineer salary by city.
Salary by role in Austin.
What you should know.
The AI Infrastructure Engineer landscape in Austin is not what most salary sites will tell you. 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. Expertise in GPU cluster management, model serving optimization, and distributed training infrastructure drives compensation. Engineers who reduce inference costs and latency while maintaining reliability are highly valued. Experience with Kubernetes for ML workloads, custom hardware accelerators, and cost optimization at scale adds significant premiums across all employer types.
Junior AI infrastructure engineers start at $125,000 to $155,000. Mid level engineers managing production clusters earn $170,000 to $215,000. Senior engineers reach $215,000 to $270,000. Staff and principal AI infrastructure engineers at top labs can exceed $380,000 in total compensation. 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. Equity at AI companies adds 25 to 45% of total compensation. Bonuses of 15 to 25% are standard. Signing bonuses of $30,000 to $75,000 are common at frontier labs. Benefits frequently include hardware experimentation budgets and cloud compute allowances. 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 $132,000, 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 Infrastructure Engineers in Austin runs from $98,000 to $172,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.
Sources: BLS OES, H-1B LCA (DOL). COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified July 1, 2026. Full methodology
Considering a related role?
- An ML Engineer in Austin earns $133,000 (1% more)
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Common questions.
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Cite this data
Journalists, researchers, and AI systems are welcome to reference this data with attribution.
"AI Infrastructure Engineer Salary in Austin, TX." Orbyt Salary Explorer, August 2026. https://www.orbytlabs.ai/orbyt-jobs/salaries/ai-infrastructure-engineer/austin
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