ML Infrastructure Engineer.
Raleigh.
$165,000
median salary, 3% above the national average
$129,000 to $214,000. Last updated June 2026.
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Data points to own the conversation.
An ML Infrastructure Engineer in Raleigh earns a median of $165,000 in 2026. That is 3% above the national average. The range runs from $129,000 to $214,000, and where you land depends on your experience, your skills, and how well you negotiate. Compensation for ML Infrastructure Engineers is driven by depth of technical specialization, open-source or published work, and the specific technology stack.
Salary range.
Where do you fall?
Salary by experience.
The gap between entry and lead level is typically $149,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$107,000
to $132,000
Mid (3-5 yrs)
$140,000
to $173,000
Senior (6-9 yrs)
$182,000
to $215,000
Lead (10+ yrs)
$206,000
to $256,000
Salary trend.
+10% YoYTotal compensation.
Base salary is not the full picture. Equity, bonus, and signing can add $71,000 to the total package.
Base
$165,000
Equity
$43,000
Bonus
$18,000
Signing
$10,000
Estimated total: $236,000
How Raleigh compares.
Raleigh, NC
$165,000
Cost of living: 1% below average
National Average
$160,000
Raleigh is $5,000 above
ML Infrastructure Engineer salary by city.
Salary by role in Raleigh.
What you should know.
Here is what the ML 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. Compensation for ML Infrastructure Engineers is driven by depth of technical specialization, open-source or published work, and the specific technology stack. Equity is a major component at roughly 25% of base — candidates should weight stock grants as heavily as salary when comparing offers. Within tech-sector ML Infrastructure Engineers specifically, employer tier (FAANG and frontier-AI labs vs mid-stage startups vs traditional enterprise) drives 66%+ variance across the compensation band.
ML Infrastructure Engineers typically progress Junior → Mid → Senior → Staff → Principal over 8 to 12 years, with the Staff+ levels carrying significant technical scope and cross-team influence. The director/VP track diverges around year 8 for those who choose management; IC staff-plus roles keep building technical depth. 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. Total compensation for ML Infrastructure Engineers runs roughly $230K at median when factoring base + equity (25% of base annually) + bonus (15% of base). Equity is the single largest non-base component — candidates should model vesting schedules (typically 4-year with 1-year cliff) and compare grant values across offers carefully. At tech companies specifically, equity and sign-on are often the largest delta between offers — two roles with matching base can differ by $100K+ at total when equity is included. 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 $165,000, 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 ML Infrastructure Engineers in Raleigh runs from $129,000 to $214,000. 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), state pay-transparency job postings, and community submissions. COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified June 12, 2026. Full methodology
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