NLP 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.
NLP Engineer
Build natural language processing systems and text AI models.
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 NLP Engineer. However, salaries vary significantly by city, employer, and experience level โ see the city-by-city breakdown below.
NLP Engineer vs Embedded Systems Engineer โ Salary by City
National median figures in USD across top cities.
| City | NLP Engineer | Embedded Systems Engineer | Difference |
|---|---|---|---|
| San Francisco, CA | $175,055 | $202,193 | NLP $27,138 |
| New York, NY | $135,980 | $161,501 | NLP $25,521 |
| Seattle, WA | $174,364 | $194,146 | NLP $19,782 |
| Austin, TX | $137,212 | $153,569 | NLP $16,357 |
| Chicago, IL | $129,954 | $147,632 | NLP $17,678 |
| Boston, MA | $156,119 | $180,677 | NLP $24,558 |
| London, UK | ยฃ94,915 | ยฃ107,963 | NLP $13,048 |
| Toronto, Canada | CA$156,823 | CA$182,205 | NLP $25,382 |
Frequently Asked Questions
Does a NLP Engineer or Embedded Systems Engineer earn more?+
A Embedded Systems Engineer earns more on average. The national median salary for a NLP 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 NLP Engineer or Embedded Systems Engineer?+
NLP Engineer roles are growing at 42% YoY while Embedded Systems Engineer demand is growing at 12% YoY. NLP Engineer has stronger near-term demand growth.
Can you switch from NLP 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 NLP Engineer or Embedded Systems Engineer?+
NLP Engineer has a lower AI automation risk (20% vs 30%). Based on Oxford Martin School and McKinsey 2023 analysis.