On-Device AI Engineer.
Columbia.
$156,000
median salary, 11% below the national average
$118,000 to $203,000. Last updated April 2026.
Get the job.
Data points to own the conversation.
Here is what On-Device AI Engineers actually make in Columbia: $118,000 at the 25th percentile, $156,000 at the median, and $203,000 at the 75th. That is 11% below the national average. Columbia is South Carolina's capital and home to Fort Jackson, the University of South Carolina, and a growing insurance and financial services sector. The number on your offer letter will depend on what you bring and how you ask.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $141,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$101,000
to $125,000
Mid (3-5 yrs)
$133,000
to $164,000
Senior (6-9 yrs)
$172,000
to $203,000
Lead (10+ yrs)
$195,000
to $242,000
Salary trend
+5% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $41,000 to the total package.
Base
$156,000
Equity
$23,000
Bonus
$15,000
Signing
$3,000
Estimated total: $197,000
How Columbia compares
Columbia, SC
$156,000
Cost of living: 10% below average
National Average
$175,000
Columbia is $19,000 below
On-Device AI Engineer salary by city
Salary by role in Columbia
What you should know
Before you negotiate a On-Device AI Engineer offer in Columbia, understand the terrain. Columbia is South Carolina's capital and home to Fort Jackson, the University of South Carolina, and a growing insurance and financial services sector. The city offers very affordable living and stable government and military employment. Tech growth is accelerating as remote work brings new residents. Salary scales with expertise in model compression and deployment across diverse hardware targets. Engineers optimizing transformer models for mobile NPUs and edge TPUs earn premiums. Experience with Apple CoreML, Qualcomm AI Engine, or MediaTek NeuroPilot adds 10% to 18% over generalist ML engineers.
Junior on-device AI engineers start around $132,000 porting models to mobile frameworks. Mid-level engineers designing custom on-device inference pipelines earn $173,000 to $198,000. Senior engineers leading edge AI strategy for product lines reach $228,000 to $280,000. In Columbia, 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. Device manufacturers offer RSU grants vesting over four years with annual refreshers. Annual bonuses of 12% to 18% are standard, with patent bonuses of $5,000 to $15,000 per filing common at hardware companies. And on the tax side: south Carolina's top income tax rate is 6.4%. Columbia has no city income tax. The moderate state rate is offset by very affordable housing and living costs. When someone quotes you $156,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Leverage government and military contractor pay scales. Columbia employers align with federal benchmarks which often exceed local private sector rates. The range for On-Device AI Engineers in Columbia runs from $118,000 to $203,000. 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 AI Ethics Officer in Columbia earns $155,000 (1% less)
- The highest-paying role in Columbia is Distinguished Engineer at $306,000
Common questions.
On-Device AI Engineer salary in other cities
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