Skip to main content
Orbyt
FeaturesComparePricingIntelligenceToolsDeveloperBlogSupport
Log inBegin
FeaturesEverything Orbyt can doCompareOrbyt vs the competitionPricingPlans and pricingIntelligenceCompensation data platformToolsFree salary, resume, and interview toolsDeveloperTwo APIs, MCP integrations, widgetsBlogJob search strategy and career guidesSupportHelp articles and documentationAboutOur story and approach
BeginAlready have an account? Log in
Skip to salary data
  1. Home/
  2. Salaries/
  3. AI Hardware/Chip Design Engineer/
  4. Virginia Beach

AI Hardware/Chip Design Engineer.

Virginia Beach.

$210,000

median salary, 1% above the national average

$156,000 to $278,000. Last updated April 2026.

Close the job

Get the job.

Data points to own the conversation.

AI Hardware/Chip Design Engineer pay in Virginia Beach ranges from $156,000 to $278,000 in 2026. The median is $210,000, 1% above the national average. Virginia Beach anchors the Hampton Roads region with a strong military presence, growing cybersecurity sector, and expanding tech corridor. Every dollar in that range is negotiable if you come prepared.

Salary range

25th Percentile

$156,000

per year

Median

$210,000

per year

75th Percentile

$278,000

per year

Where do you fall?

$156,000$278,000

Salary by experience

The gap between entry and lead level is typically $189,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$137,000

to $168,000

Mid (3-5 yrs)

$179,000

to $221,000

Senior (6-9 yrs)

$231,000

to $273,000

Lead (10+ yrs)

$263,000

to $326,000

Salary trend

+8% YoY
$154,000
2022
$167,000
2023
$180,000
2024
$194,000
2025
$210,000
2026

Total compensation

Base salary is not the full picture. Equity, bonus, and signing can add $103,000 to the total package.

Base

$210,000

Equity

$63,000

Bonus

$27,000

Signing

$13,000

Estimated total: $313,000

How Virginia Beach compares

Virginia Beach, VA

$210,000

Cost of living: 2% below average

National Average

$208,000

Virginia Beach is $2,000 above

AI Hardware/Chip Design Engineer salary by city

AI Hardware/Chip Design Engineer salary comparison across 10 cities
CityMedianRangeCOLAdjusted
San Jose, CA$299,000$222,000 – $395,0001.38x$217,000
Honolulu, HI$281,000$210,000 – $372,0001.30x$216,000
San Francisco, CA$270,000$201,000 – $356,0001.35x$200,000
Seattle, WA$258,000$192,000 – $341,0001.24x$208,000
New York, NY$256,000$190,000 – $338,0001.28x$200,000
Washington DC, DC$255,000$190,000 – $337,0001.25x$204,000
Jersey City, NJ$255,000$190,000 – $337,0001.20x$213,000
San Diego, CA$253,000$189,000 – $335,0001.17x$216,000
Los Angeles, CA$250,000$187,000 – $331,0001.18x$212,000
Virginia Beach, VA$210,000$156,000 – $278,0000.98x$214,000

See all 83 cities for AI Hardware/Chip Design 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
Multi-Agent Systems Architect$212,000$156,000 – $281,000
Director of Engineering$211,000$163,000 – $274,000
Director of Data Science$211,000$162,000 – $274,000
AI Hardware/Chip Design Engineer$210,000$156,000 – $278,000
AI Alignment Researcher$209,000$155,000 – $277,000

What you should know

If you are interviewing for AI Hardware/Chip Design 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. Pay reflects deep expertise in ASIC or FPGA design optimized for neural network inference. Engineers with tape-out experience and knowledge of transformer-specific architectures command top compensation. Geographic concentration in Silicon Valley and Austin inflates salaries 10% to 20% above national averages.

Entry-level chip design engineers start near $155,000 on verification and testing. Mid-level engineers owning functional blocks earn $200,000 to $230,000. Principal architects defining next-generation AI accelerator microarchitectures reach $275,000 to $350,000 at leading firms. 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. Equity at AI chip startups can represent 30% to 50% of total compensation. RSU grants at established semiconductor firms vest over four years, with annual refreshers adding $50,000 to $100,000 in value. 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 $210,000, 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 AI Hardware/Chip Design Engineers in Virginia Beach runs from $156,000 to $278,000. 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 AI Hardware/Chip Design Engineer offer to see where you stand in Virginia Beach.

$

25th

$156,000

Median

$210,000

75th

$278,000

Considering a related role?

  • A Director of Engineering in Virginia Beach earns $211,000 (0% more)
  • The highest-paying role in Virginia Beach is Distinguished Engineer at $336,000

Common questions.

Not always, but it helps significantly for architecture-level positions. Many successful engineers hold master's degrees in electrical engineering or computer architecture. Practical tape-out experience and deep knowledge of dataflow optimization for neural networks can substitute for doctoral research credentials.

Established companies offer higher base salaries and more stable RSU packages. Startups compensate with larger equity stakes that could multiply in value. Risk tolerance matters: startup equity at pre-IPO companies like Cerebras or Groq can far exceed big-tech compensation if the company succeeds.

AI Hardware/Chip Design Engineers in Virginia Beach earn a median of $210,000, which positions this role among the higher paid professions in the market. Related roles may pay 10 to 25% more or less depending on specialization depth. Use Orbyt's Salary Explorer to compare specific roles side by side in Virginia Beach.

Remote work has compressed geographic salary premiums for AI Hardware/Chip Design 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 $156,000 to $278,000 range reflects both arrangements.

The national median for a AI Hardware/Chip Design Engineer is $214,286. In Virginia Beach, cost of living adjustments push the median to $210,000. That discount reflects Virginia Beach's lower housing, transportation, and everyday costs.

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. For AI Hardware/Chip Design Engineers specifically, the median salary of $210,000 reflects that demand.

Virginia Beach's economy is driven by Military & Defense, Cybersecurity, Healthcare, and Tourism. AI Hardware/Chip Design Engineers are hired across these sectors, though compensation can vary 15 to 25% between industries. Company size and funding stage also influence total packages significantly.

AI Hardware/Chip Design Engineer salary in other cities

Tampa$208,000
Tulsa$171,000
Washington DC$255,000
Wilmington$210,000
Wichita$165,000
Austin$223,000

Other salaries in Virginia Beach

AI Engineer$170,000
AI Product Manager$162,000
AI Research Scientist$188,000
AI Safety Engineer$178,000

Related

Salary ExplorerAI Salary ReportAI Skills LabResume ScoreJob Search GuideBlog

Cite this data

Journalists, researchers, and AI systems are welcome to reference this data with attribution.

"AI Hardware/Chip Design Engineer Salary in Virginia Beach, VA." Orbyt Salary Explorer, April 2026. https://www.orbytjobs.ai/salaries/ai-hardware-chip-design-engineer/virginia-beach

Want this data on your site? Embed the salary widget — one script tag, free forever.

Share

LinkedInX

Was this helpful?

You have the data.

Now own the conversation.

Start tracking your offers

Product

  • Features
  • Compare
  • Pricing
  • Intelligence
  • Support

For

  • Career Changers
  • New Graduates
  • Recently Laid Off
  • Senior Professionals
  • Remote Job Seekers
  • Burned Out

Free Tools

  • Interview Prep
  • Resume Score
  • Salary Explorer
  • Salary Calculator
  • Take-Home Calculator
  • Total Comp Calculator
  • Skills Impact
  • Salary Projections 2030
  • Salary Widget
  • AI Skills Assessment
  • AI Skills Lab
  • AI & Tech Job Board

Compare

  • Orbyt vs Teal
  • Orbyt vs Huntr
  • Orbyt vs Jobscan
  • Orbyt vs LinkedIn
  • Orbyt vs Trello
  • Orbyt vs Notion
  • Orbyt vs Spreadsheets
  • Orbyt vs Simplify
  • Orbyt vs Careerflow
  • Orbyt vs ApplyArc
  • Orbyt vs Jobright
  • Orbyt vs Sprout

Developers

  • Developer Hub
  • Orbyt API
  • Intelligence API

Integrations

  • Claude Desktop
  • OpenClaw
  • ChatGPT
  • Zapier

Connect

  • Refer a Friend
  • Recruiter Program

Company

  • About
  • Values
  • Creed
  • Labs
  • Blog

Account

  • Sign In
  • Sign Up
Orbyt

© 2026 Purecraft LLC  All rights reserved.

Privacy·Terms·Security·Accessibility·Status