Computer Vision 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.
Computer Vision Engineer
Build image and video recognition systems using deep learning.
Embedded Systems Engineer
Develop firmware and software for embedded hardware and IoT devices.
Embedded Systems Engineer earns more on average — the national median is $15,750/year (13%) higher than a Computer Vision Engineer. However, salaries vary significantly by city, employer, and experience level — see the city-by-city breakdown below.
Computer Vision Engineer vs Embedded Systems Engineer — Salary by City
National median figures in USD across top cities.
| City | Computer Vision Engineer | Embedded Systems Engineer | Difference |
|---|---|---|---|
| San Francisco, CA | $175,639 | $202,193 | Computer $26,554 |
| New York, NY | $135,980 | $161,501 | Computer $25,521 |
| Seattle, WA | $171,965 | $194,146 | Computer $22,181 |
| Austin, TX | $137,560 | $153,569 | Computer $16,009 |
| Chicago, IL | $126,140 | $147,632 | Computer $21,492 |
| Boston, MA | $155,915 | $180,677 | Computer $24,762 |
| London, UK | £95,414 | £107,963 | Computer $12,549 |
| Toronto, Canada | CA$156,431 | CA$182,205 | Computer $25,774 |
Frequently Asked Questions
Does a Computer Vision Engineer or Embedded Systems Engineer earn more?+
A Embedded Systems Engineer earns more on average. The national median salary for a Computer Vision Engineer is $120,230/year, compared to $135,980/year for a Embedded Systems Engineer — a difference of $15,750 (13%).
Which has better career growth — Computer Vision Engineer or Embedded Systems Engineer?+
Computer Vision Engineer roles are growing at 38% YoY while Embedded Systems Engineer demand is growing at 12% YoY. Computer Vision Engineer has stronger near-term demand growth.
Can you switch from Computer Vision 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 — Computer Vision Engineer or Embedded Systems Engineer?+
Computer Vision Engineer has a lower AI automation risk (22% vs 30%). Based on Oxford Martin School and McKinsey 2023 analysis.