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  1. Home/
  2. Salary/
  3. Embedded AI Engineer/
  4. Austin

Embedded AI Engineer.

Austin.

$170,000

median salary, 3% above the national average

$129,000 to $221,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

If you are evaluating a Embedded AI Engineer offer in Austin, TX, here is the reality: $129,000 to $221,000, with $170,000 as the midpoint. 3% above the national average. The intersection of embedded systems expertise and ML model optimization creates strong salary premiums. Do not accept the first number.

Salary range

25th Percentile

$129,000

per year

Median

$170,000

per year

75th Percentile

$221,000

per year

Tap to place your salary

$129,000$221,000

How Austin compares

Austin, TX

$170,000

Cost of living: 3% above average

National Average

$165,000

Austin is $5,000 above

What you should know

Here is what the Embedded AI Engineer market actually looks like in Austin. 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. The intersection of embedded systems expertise and ML model optimization creates strong salary premiums. Engineers who can deploy neural networks on edge devices with strict power and latency constraints earn 12 to 20% more than general embedded engineers. Experience with model quantization, pruning, and hardware-specific optimization for chips like NVIDIA Jetson or Apple Neural Engine is highly valued.

Embedded software engineers earning $100,000 to $135,000 advance to this AI-focused role at $125,000 to $215,000. Senior embedded AI engineers earn $175,000 to $240,000 before progressing to Principal Engineer or Head of Edge AI at $210,000 to $280,000. This niche offers strong demand with limited supply. 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. Total packages range from $190,000 to $360,000 with equity, hardware bonuses, and performance incentives of 10 to 22% of base. Companies in automotive, robotics, and consumer electronics offer the strongest total compensation for this specialization. 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 $170,000, 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 Embedded AI Engineers in Austin runs from $129,000 to $221,000. 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

TechnologySemiconductorsClean EnergyHealthcareGovernment

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.

Common questions.

Automotive companies pay 10 to 20% premiums for embedded AI engineers with experience in autonomous driving perception systems. The safety-critical nature of automotive AI, combined with ASIL compliance requirements and real-time inference constraints, creates a narrow talent pool that drives compensation upward.

Yes, experience with production deployments on platforms like NVIDIA Jetson, Qualcomm AI Engine, or custom AI accelerators adds 8 to 15% to salary offers. Engineers who can optimize models across multiple hardware targets are especially valued as companies diversify their edge deployment strategies.

Entry level Embedded AI Engineer positions in Austin typically start near $129,000. Candidates with relevant internships, certifications, or portfolio work often negotiate closer to the median of $170,000. Embedded software engineers earning $100,000 to $135,000 advance to this AI-focused role at $125,000 to $215,000.

In Austin, large enterprises typically pay Embedded AI Engineers 10 to 20% more in base salary than small companies, but startups often compensate with equity that can exceed base salary value. Total packages range from $190,000 to $360,000 with equity, hardware bonuses, and performance incentives of 10 to 22% of base. The $129,000 to $221,000 range reflects this entire spectrum.

The intersection of embedded systems expertise and ML model optimization creates strong salary premiums. Engineers who can deploy neural networks on edge devices with strict power and latency constraints earn 12 to 20% more than general embedded engineers. Experience with model quantization, pruning, and hardware-specific optimization for chips like NVIDIA Jetson or Apple Neural Engine is highly valued. In Austin, these factors can push compensation from the 25th percentile of $129,000 to the 75th percentile of $221,000 or beyond.

Total packages range from $190,000 to $360,000 with equity, hardware bonuses, and performance incentives of 10 to 22% of base. Companies in automotive, robotics, and consumer electronics offer the strongest total compensation for this specialization. In Austin's market, the base range of $129,000 to $221,000 is just the starting point for negotiation.

Embedded AI Engineer salary in other cities

Los Angeles$195,000
Miami$185,000
Minneapolis$173,000
New York$211,000
Nashville$165,000
Philadelphia$180,000

Other salaries in Austin

Backend Developer$129,000
Blockchain Developer$160,000
Behavioral Health Tech$39,000
Business Analyst$91,000

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