Embedded AI Engineer.
Richmond.
$168,000
median salary, 2% above the national average
$128,000 to $219,000. Last updated April 2026.
Get the job.
Data points to own the conversation.
Embedded AI Engineer pay in Richmond ranges from $128,000 to $219,000 in 2026. The median is $168,000, 2% above the national average. Richmond combines a strong government and defense sector with growing technology and financial services industries. Every dollar in that range is negotiable if you come prepared.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $151,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$109,000
to $134,000
Mid (3-5 yrs)
$143,000
to $176,000
Senior (6-9 yrs)
$185,000
to $218,000
Lead (10+ yrs)
$210,000
to $260,000
Salary trend
+5% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $36,000 to the total package.
Base
$168,000
Equity
$20,000
Bonus
$13,000
Signing
$3,000
Estimated total: $204,000
How Richmond compares
Richmond, VA
$168,000
Cost of living: 1% above average
National Average
$165,000
Richmond is $3,000 above
Embedded AI Engineer salary by city
Salary by role in Richmond
What you should know
Before you negotiate a Embedded AI Engineer offer in Richmond, understand the terrain. Richmond combines a strong government and defense sector with growing technology and financial services industries. Capital One's headquarters drives significant fintech employment. The city's proximity to Washington DC creates spillover demand for federal contractors and tech workers seeking lower living costs. 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 Richmond, 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 top income tax rate is 5.75%. Richmond has no city income tax. The moderate rate and reasonable cost of living create solid net compensation. When someone quotes you $168,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Leverage DC corridor salary benchmarks. Richmond employers compete with Northern Virginia and DC for talent, especially in fintech and government contracting. The range for Embedded AI Engineers in Richmond runs from $128,000 to $219,000. 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
Considering a related role?
- A Quantum Computing Researcher in Richmond earns $167,000 (1% less)
- The highest-paying role in Richmond is Chief AI Officer at $316,000
Common questions.
Embedded AI Engineer salary in other cities
Other salaries in Richmond
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