AI Engineer vs Embedded Systems Engineer: Which Pays More?
Side-by-side salary comparison by city, experience level, and career growth outlook. Data reflects current market rates.
AI Engineer
Build AI-powered products and integrate LLMs into applications.
Embedded Systems Engineer
Develop firmware and software for embedded hardware and IoT devices.
Embedded Systems Engineer earns more on average โ the national median is $15,750/year (13%) higher than a AI Engineer. However, salaries vary significantly by city, employer, and experience level โ see the city-by-city breakdown below.
AI Engineer vs Embedded Systems Engineer โ Salary by City
National median figures in USD across top cities.
| City | AI Engineer | Embedded Systems Engineer | Difference |
|---|---|---|---|
| San Francisco, CA | $173,327 | $202,193 | AI $28,866 |
| New York, NY | $135,980 | $161,501 | AI $25,521 |
| Seattle, WA | $173,703 | $194,146 | AI $20,443 |
| Austin, TX | $137,883 | $153,569 | AI $15,686 |
| Chicago, IL | $129,960 | $147,632 | AI $17,672 |
| Boston, MA | $159,072 | $180,677 | AI $21,605 |
| London, UK | ยฃ78,216 | ยฃ107,963 | AI $29,747 |
| Toronto, Canada | CA$134,265 | CA$182,205 | AI $47,940 |
Frequently Asked Questions
Does a AI Engineer or Embedded Systems Engineer earn more?+
A Embedded Systems Engineer earns more on average. The national median salary for a AI Engineer is $120,230/year, compared to $135,980/year for a Embedded Systems Engineer โ a difference of $15,750 (13%).
Which has better career growth โ AI Engineer or Embedded Systems Engineer?+
AI Engineer roles are growing at 55% YoY while Embedded Systems Engineer demand is growing at 12% YoY. AI Engineer has stronger near-term demand growth.
Can you switch from AI Engineer to Embedded Systems Engineer?+
Yes. Many professionals transition between these roles, especially since both are in the same category. Shared skills include: analytical thinking, communication, and industry knowledge.
Which is harder to automate โ AI Engineer or Embedded Systems Engineer?+
AI Engineer has a lower AI automation risk (18% vs 30%). Based on Oxford Martin School and McKinsey 2023 analysis.