How much do On-Device AI Engineers make in Columbus compared to the national average?

The national median On-Device AI Engineer salary is $175,269. In Columbus, COL adjustments bring the median to $163,000.

What is the demand outlook for On-Device AI Engineers in Columbus?

Demand for On-Device AI Engineers in Columbus remains strong. The compensation range of $123,000 to $212,000 reflects competitive hiring.

What is the hiring process like for On-Device AI Engineers in Columbus?

On-Device AI Engineer hiring in Columbus involves 3 to 5 rounds over 2 to 4 weeks. Prepare with company research and Orbyt's Interview Prep tool.

On-Device AI Engineer.

Columbus.

$163,000

median salary, 7% below the national average

$123,000 to $212,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

Here is what On-Device AI Engineers actually make in Columbus: $123,000 at the 25th percentile, $163,000 at the median, and $212,000 at the 75th. That is 7% below the national average. Columbus is Ohio's largest city and a growing technology and logistics hub, home to companies like Nationwide Insurance and a major Intel semiconductor fab under construction. The number on your offer letter will depend on what you bring and how you ask.

Salary range

25th Percentile

$123,000

per year

Median

$163,000

per year

75th Percentile

$212,000

per year

Tap to place your salary

$123,000$212,000

How Columbus compares

Columbus, OH

$163,000

Cost of living: 7% below average

National Average

$175,000

Columbus is $12,000 below

What you should know

Before you negotiate a On-Device AI Engineer offer in Columbus, understand the terrain. Columbus is Ohio's largest city and a growing technology and logistics hub, home to companies like Nationwide Insurance and a major Intel semiconductor fab under construction. The city's large university system and low cost of living attract both startups and corporate expansions. Tech salaries have been climbing as national employers establish Midwest offices. 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 Columbus, 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: ohio's income tax tops out around 3.5%, and Columbus adds a city income tax of 2.5%. The combined rate is moderate, but the city tax applies to all who work within city limits. When someone quotes you $163,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Mention Intel's new fab investment when negotiating. The semiconductor megaproject is driving salaries upward across the entire Columbus tech and engineering market. The range for On-Device AI Engineers in Columbus runs from $123,000 to $212,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.

Top industries in Columbus

Insurance & Financial ServicesTechnologyLogisticsHealthcareHigher Education

Negotiating in Columbus

Mention Intel's new fab investment when negotiating. The semiconductor megaproject is driving salaries upward across the entire Columbus tech and engineering market.

Common questions.

On-device engineers face strict constraints: limited memory, battery life, thermal throttling, and heterogeneous hardware. They must master quantization, pruning, and architecture design for specific NPU instructions. Cloud engineers optimize for throughput and cost, while on-device engineers optimize for latency, power, and model size simultaneously.

Smartphones remain the largest market, with Apple, Samsung, and Qualcomm hiring aggressively. Smart home devices, automotive ADAS systems, and AR glasses are growing rapidly. The shift toward on-device language models for privacy-sensitive applications is creating new demand across consumer electronics and IoT companies.

The national median for a On-Device AI Engineer is $175,269. In Columbus, cost of living adjustments push the median to $163,000. That discount reflects Columbus's lower housing, transportation, and everyday costs.

Columbus is Ohio's largest city and a growing technology and logistics hub, home to companies like Nationwide Insurance and a major Intel semiconductor fab under construction. The city's large university system and low cost of living attract both startups and corporate expansions. For On-Device AI Engineers specifically, salary scales with expertise in model compression and deployment across diverse hardware targets, which signals sustained demand. The current compensation range of $123,000 to $212,000 reflects a market that is competing for talent.

Ohio's income tax tops out around 3.5%, and Columbus adds a city income tax of 2.5%. The combined rate is moderate, but the city tax applies to all who work within city limits. When comparing offers across states, your take home pay matters more than the number on the offer letter. A lower salary in a no income tax state can net more than a higher one elsewhere.

On-Device AI Engineer hiring in Columbus typically involves three to five rounds: a recruiter screen, a technical or skills assessment, one or two team interviews, and a final conversation with leadership. Companies in Columbus's Insurance & Financial Services sector may add domain specific evaluations. The process usually takes two to four weeks. Prepare by researching the company and practicing with Orbyt's Interview Prep tool.