Deep Learning Engineer.
Austin.
$206,000
median salary, 3% above the national average
$160,000 to $263,000. Updated for 2026.
The numbers.
Everything you need to negotiate with confidence.
Deep Learning Engineer pay in Austin ranges from $160,000 to $263,000 in 2026. The median is $206,000, 3% 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
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How Austin compares
Austin, TX
$206,000
Cost of living: 3% above average
National Average
$200,000
Austin is $6,000 above
What you should know
If you are interviewing for Deep Learning 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. Pay hinges on expertise with transformer architectures, large-scale training pipelines, and GPU optimization. Engineers who have shipped production models at scale earn top-band salaries. Publications at NeurIPS or ICML and familiarity with distributed training frameworks like DeepSpeed further boost compensation.
Junior deep learning roles start at $120,000 to $145,000. Mid-level engineers earn $155,000 to $200,000. Senior and staff-level positions reach $220,000 to $300,000 base, with principal engineers at top labs exceeding $400,000 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 is a major component at AI-focused companies, often representing 30 to 50% of total compensation. Annual bonuses range from 10 to 20% of base, with signing bonuses of $30,000 to $75,000 common for experienced hires. 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 $206,000, 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 Deep Learning Engineers in Austin runs from $160,000 to $263,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.
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Negotiating in Austin
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.