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AI Infrastructure Engineer.

Raleigh.

$137,000

median salary, 3% above the national average

$102,000 to $179,000. Last updated August 2026.

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Data points to own the conversation.

An AI Infrastructure Engineer in Raleigh earns a median of $137,000 in 2026. That is 3% above the national average. The range runs from $102,000 to $179,000, and where you land depends on your experience, your skills, and how well you negotiate. Expertise in GPU cluster management, model serving optimization, and distributed training infrastructure drives compensation. These figures are Orbyt estimates, computed rather than measured, and must not be cited as Bureau of Labor Statistics figures; the published BLS wage for the occupation this role maps to is shown separately on this page.

Salary range.

25th Percentile

$102,000

per year

Median

$137,000

per year

75th Percentile

$179,000

per year

Where do you fall?

$102,000$179,000

Orbyt estimate for AI Infrastructure Engineer in Raleigh, modelled from national occupation wages adjusted for local cost of living. The published government benchmark for this occupation is below.

Government benchmark for this occupation

The US Bureau of Labor Statistics reports a median annual wage of $132,770 for Software Developers (SOC 15-1252) in the Raleigh-Cary, NC metropolitan area, based on 12,580 employed workers (May 2025 release).

10th percentile

$80,080

25th percentile

$103,480

Median

$132,770

75th percentile

$166,650

90th percentile

$185,110

Workers surveyed

12,580

BLS publishes wages by occupation code, not by job title, so this figure covers every role mapped to Software Developers (SOC 15-1252) rather than AI Infrastructure Engineer specifically. The Raleigh range at the top of this page is Orbyt’s role-level estimate, which is a different thing and is labelled as such.

View the BLS source for SOC 15-1252

Salary by experience.

The gap between entry and lead level is typically $123,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$89,000

to $110,000

Mid (3-5 yrs)

$116,000

to $144,000

Senior (6-9 yrs)

$151,000

to $178,000

Lead (10+ yrs)

$171,000

to $212,000

Total compensation.

Base salary is not the full picture. Equity, bonus, and signing can add $56,000 to the total package.

Base

$137,000

Equity

$34,000

Bonus

$14,000

Signing

$8,000

Estimated total: $193,000

AI Infrastructure Engineer salary by company.

AI Infrastructure Engineer total compensation by company in Raleigh
CompanyTotal Comp Range
OpenAI$168,000 to $210,000
Anthropic$165,000 to $202,000
Google DeepMind$162,000 to $195,000
Meta AI$158,000 to $187,000
NVIDIA$160,000 to $191,000

Total compensation estimates include base, equity, bonus, and signing. Ranges reflect mid to senior level. Derived from public H-1B LCA filings (DOL).

How Raleigh compares.

Raleigh, NC

$137,000

Cost of living: 1% below average

National Average

$133,000

Raleigh is $4,000 above

AI Infrastructure Engineer salary by city.

AI Infrastructure Engineer salary comparison across 10 cities
CityMedianRangeCOLAdjusted
San Jose, CA$191,000$142,000 to $250,0001.38x$138,000
Honolulu, HI$180,000$134,000 to $235,0001.30x$138,000
San Francisco, CA$178,000$132,000 to $233,0001.35x$132,000
Washington DC, DC$168,000$125,000 to $220,0001.25x$134,000
New York, NY$163,000$122,000 to $214,0001.28x$127,000
Los Angeles, CA$163,000$121,000 to $214,0001.18x$138,000
Seattle, WA$163,000$122,000 to $214,0001.24x$131,000
Newark, NJ$160,000$119,000 to $209,0001.18x$136,000
Boston, MA$157,000$117,000 to $206,0001.22x$129,000
Raleigh, NC$137,000$102,000 to $179,0000.99x$138,000

See all 81 cities for AI Infrastructure Engineer →

Salary by role in Raleigh.

Salary comparison by role in Raleigh
RoleMedianRange
CTO$291,000$227,000 to $378,000
General Counsel$283,000$220,000 to $368,000
CEO$275,000$200,000 to $380,000
AI Infrastructure Engineer$137,000$102,000 to $179,000
Computer Vision Engineer$137,000$102,000 to $179,000
Machine Learning Researcher$137,000$94,000 to $181,000
NLP Research Scientist$137,000$94,000 to $181,000
NLP Applications Engineer$137,000$102,000 to $179,000

What you should know.

Here is what the AI Infrastructure Engineer market actually looks like in Raleigh. Raleigh sits at the heart of the Research Triangle, one of America's premier tech and life sciences corridors. Cisco, Red Hat, Epic Games, and numerous biotech firms drive strong demand for engineering, research, and product roles. The combination of top tier universities and moderate living costs creates an exceptionally favorable salary to expense ratio. Expertise in GPU cluster management, model serving optimization, and distributed training infrastructure drives compensation. Engineers who reduce inference costs and latency while maintaining reliability are highly valued. Experience with Kubernetes for ML workloads, custom hardware accelerators, and cost optimization at scale adds significant premiums across all employer types.

Junior AI infrastructure engineers start at $125,000 to $155,000. Mid level engineers managing production clusters earn $170,000 to $215,000. Senior engineers reach $215,000 to $270,000. Staff and principal AI infrastructure engineers at top labs can exceed $380,000 in total compensation. In Raleigh, 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 companies adds 25 to 45% of total compensation. Bonuses of 15 to 25% are standard. Signing bonuses of $30,000 to $75,000 are common at frontier labs. Benefits frequently include hardware experimentation budgets and cloud compute allowances. And on the tax side: north Carolina's flat 4.5% income tax keeps the burden low. Raleigh has no city income tax, and the Triangle's affordable housing amplifies your take home purchasing power. When someone quotes you $137,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Cite Research Triangle talent competition in your negotiation. Employers here compete directly with each other and with remote offers, creating favorable leverage for candidates. The range for AI Infrastructure Engineers in Raleigh runs from $102,000 to $179,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.

Sources: BLS OES, H-1B LCA (DOL). COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified July 1, 2026. Full methodology

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$

25th

$102,000

Median

$137,000

75th

$179,000

Considering a related role?

Common questions.

AI infrastructure engineers earn 20 to 35% more than traditional DevOps engineers because GPU orchestration, model serving, and training pipeline management require specialized skills. The ability to optimize multi million dollar compute budgets creates direct business value. This premium is expected to persist as AI workloads grow.

Experience with NVIDIA GPU ecosystems, Kubernetes with GPU scheduling, and major cloud AI platforms is essential. Familiarity with model serving frameworks like vLLM and Triton adds value. Engineers who can optimize across cloud providers and manage hybrid on premise and cloud infrastructure command the highest compensation.

Raleigh sits at the heart of the Research Triangle, one of America's premier tech and life sciences corridors. Cisco, Red Hat, Epic Games, and numerous biotech firms drive strong demand for engineering, research, and product roles. For AI Infrastructure Engineers specifically, the median salary of $137,000 reflects that demand.

Relevant certifications can add 5 to 15% to an AI Infrastructure Engineer's base salary in Raleigh. Specifically, expertise in gpu cluster management, model serving optimization, and distributed training infrastructure drives compensation. In a market where the range spans $102,000 to $179,000, certifications often bridge the gap between the median and the top of the range.

Raleigh's economy is driven by Technology, Biotech & Pharma, Higher Education, and Healthcare. AI Infrastructure 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 Infrastructure Engineer salary in other cities.

Other salaries in Raleigh.

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"AI Infrastructure Engineer Salary in Raleigh, NC." Orbyt Salary Explorer, August 2026. https://www.orbytlabs.ai/orbyt-jobs/salaries/ai-infrastructure-engineer/raleigh

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