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  1. Home/
  2. Salaries/
  3. Embedded AI Engineer/
  4. Virginia Beach

Embedded AI Engineer.

Virginia Beach.

$155,000

median salary, 6% below the national average

$118,000 to $202,000. Last updated April 2026.

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Data points to own the conversation.

The median Embedded AI Engineer salary in Virginia Beach is $155,000, 6% below the national average. Entry level starts near $118,000. Experienced professionals push past $202,000. Virginia Beach anchors the Hampton Roads region with a strong military presence, growing cybersecurity sector, and expanding tech corridor. That spread is your negotiation window.

Salary range

25th Percentile

$118,000

per year

Median

$155,000

per year

75th Percentile

$202,000

per year

Where do you fall?

$118,000$202,000

Salary by experience

The gap between entry and lead level is typically $139,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$101,000

to $124,000

Mid (3-5 yrs)

$132,000

to $163,000

Senior (6-9 yrs)

$171,000

to $202,000

Lead (10+ yrs)

$194,000

to $240,000

Salary trend

+5% YoY
$128,000
2022
$134,000
2023
$141,000
2024
$148,000
2025
$155,000
2026

Total compensation

Base salary is not the full picture. Equity, bonus, and signing can add $34,000 to the total package.

Base

$155,000

Equity

$19,000

Bonus

$12,000

Signing

$3,000

Estimated total: $189,000

How Virginia Beach compares

Virginia Beach, VA

$155,000

Cost of living: 2% below average

National Average

$165,000

Virginia Beach is $10,000 below

Embedded AI Engineer salary by city

Embedded AI Engineer salary comparison across 10 cities
CityMedianRangeCOLAdjusted
San Jose, CA$235,000$178,000 – $306,0001.38x$170,000
San Francisco, CA$225,000$170,000 – $293,0001.35x$167,000
Honolulu, HI$221,000$167,000 – $288,0001.30x$170,000
New York, NY$220,000$166,000 – $286,0001.28x$172,000
Washington DC, DC$212,000$161,000 – $277,0001.25x$170,000
Arlington, VA$205,000$156,000 – $268,0001.22x$168,000
San Diego, CA$201,000$152,000 – $262,0001.17x$172,000
Jersey City, NJ$200,000$152,000 – $261,0001.20x$167,000
Seattle, WA$198,000$150,000 – $259,0001.24x$160,000
Virginia Beach, VA$155,000$118,000 – $202,0000.98x$158,000

See all 83 cities for Embedded AI Engineer →

Salary by role in Virginia Beach

Salary comparison by role in Virginia Beach
RoleMedianRange
Distinguished Engineer$336,000$255,000 – $428,000
Chief AI Officer$313,000$232,000 – $404,000
Chief Technology Officer$296,000$219,000 – $387,000
Embedded AI Engineer$155,000$118,000 – $202,000
Cybersecurity Engineer$155,000$116,000 – $204,000
Unstructured Data Engineer$155,000$117,000 – $204,000
AI Adoption Lead$155,000$115,000 – $205,000
AI Roadmap Strategist$155,000$118,000 – $205,000

What you should know

If you are interviewing for Embedded AI Engineer roles in Virginia Beach, here is what you are walking into. Virginia Beach anchors the Hampton Roads region with a strong military presence, growing cybersecurity sector, and expanding tech corridor. Naval Station Norfolk drives significant defense contractor employment. The lower cost of living compared to Northern Virginia attracts remote workers and military-to-civilian transitions. 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 Virginia Beach, 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: virginia's flat 5.75% state income tax applies. Virginia Beach has no city income tax. The moderate rate combined with lower housing costs than Northern Virginia creates good take home pay. When someone quotes you $155,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Leverage military transition benefits. Hampton Roads employers value candidates with security clearances and military technical experience. The range for Embedded AI Engineers in Virginia Beach runs from $118,000 to $202,000. 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

Interactive

Is your offer competitive?

Enter your Embedded AI Engineer offer to see where you stand in Virginia Beach.

$

25th

$118,000

Median

$155,000

75th

$202,000

Considering a related role?

  • A AI Firmware Engineer in Virginia Beach earns $156,000 (1% more)
  • The highest-paying role in Virginia Beach is Distinguished Engineer at $336,000

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.

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 Virginia Beach, these factors can push compensation from the 25th percentile of $118,000 to the 75th percentile of $202,000 or beyond.

In 2026, the average Embedded AI Engineer salary in Virginia Beach, VA is $155,000. The 25th percentile sits at $118,000 and the 75th percentile reaches $202,000. Where you land depends on your experience, the company's size, and the specific skills you bring.

Remote work has compressed geographic salary premiums for Embedded AI Engineers. Some Virginia Beach employers offer location adjusted pay, while others maintain local rates to attract in office talent. In Virginia Beach's moderate cost market, remote and local salaries are converging. The $118,000 to $202,000 range reflects both arrangements.

Embedded AI Engineer salary in other cities

Tampa$160,000
Tulsa$131,000
Washington DC$212,000
Wilmington$163,000
Wichita$139,000
Austin$177,000

Other salaries in Virginia Beach

Backend Developer$121,000
DevOps Engineer$128,000
Embedded Systems Engineer$130,000
Frontend Developer$119,000

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Cite this data

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"Embedded AI Engineer Salary in Virginia Beach, VA." Orbyt Salary Explorer, April 2026. https://www.orbytjobs.ai/salaries/embedded-ai-engineer/virginia-beach

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