Robotics Engineer vs SOC Analyst: Which Pays More?
Side-by-side salary comparison by city, experience level, and career growth outlook. Data reflects current market rates.
Robotics Engineer
Design and program robotic systems for industrial, medical, and consumer use.
SOC Analyst
Monitor security alerts and respond to incidents in a Security Operations Centre.
Robotics Engineer earns more on average — the national median is $58,262/year (81%) higher than a SOC Analyst. However, salaries vary significantly by city, employer, and experience level — see the city-by-city breakdown below.
Robotics Engineer vs SOC Analyst — Salary by City
National median figures in USD across top cities.
| City | Robotics Engineer | SOC Analyst | Difference |
|---|---|---|---|
| San Francisco, CA | $191,598 | $105,392 | Robotics +$86,206 |
| New York, NY | $135,300 | $140,470 | Robotics $5,170 |
| Seattle, WA | $183,389 | $101,114 | Robotics +$82,275 |
| Austin, TX | $144,607 | $81,440 | Robotics +$63,167 |
| Chicago, IL | $141,411 | $76,392 | Robotics +$65,019 |
| Boston, MA | $172,165 | $94,913 | Robotics +$77,252 |
| London, UK | £98,900 | £57,665 | Robotics +$41,235 |
| Toronto, Canada | CA$169,077 | CA$93,306 | Robotics +$75,771 |
Frequently Asked Questions
Does a Robotics Engineer or SOC Analyst earn more?+
A Robotics Engineer earns more on average. The national median salary for a Robotics Engineer is $130,262/year, compared to $72,000/year for a SOC Analyst — a difference of $58,262 (81%).
Which has better career growth — Robotics Engineer or SOC Analyst?+
Robotics Engineer roles are growing at 35% YoY while SOC Analyst demand is growing at 28% YoY. Robotics Engineer has stronger near-term demand growth.
Can you switch from Robotics Engineer to SOC Analyst?+
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 — Robotics Engineer or SOC Analyst?+
Robotics Engineer has a lower AI automation risk (25% vs 35%). Based on Oxford Martin School and McKinsey 2023 analysis.