Graph Neural Network Researcher.
Austin.
$194,000
median salary, 3% above the national average
$144,000 to $255,000. Updated for 2026.
The numbers.
Everything you need to negotiate with confidence.
Graph Neural Network Researcher pay in Austin ranges from $144,000 to $255,000 in 2026. The median is $194,000, 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
$194,000
Cost of living: 3% above average
National Average
$188,000
Austin is $6,000 above
What you should know
If you are interviewing for Graph Neural Network Researcher 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. GNN researchers are valued in drug discovery, social network analysis, and fraud detection, with pharma and fintech paying the highest premiums. Experience with molecular property prediction or large-scale graph learning at production scale adds 10 to 20% to offers. Publication at venues like NeurIPS or KDD further strengthens negotiating position.
Junior GNN researchers start at $140,000 to $168,000 after completing a PhD. Senior researchers specializing in graph learning earn $190,000 to $250,000. Staff scientists and research leads reach $260,000 to $350,000, while principal scientists at major drug discovery firms can earn $370,000 to $450,000. 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. Biotech and pharma companies frequently offer signing bonuses of $25,000 to $60,000 alongside equity or stock options. Tech firms provide RSU grants worth 25 to 45% of base salary, with annual refreshers tied to performance ratings. 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 $194,000, 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 Graph Neural Network Researchers in Austin runs from $144,000 to $255,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.
Top industries in Austin
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.