Network Engineer vs AR/VR Developer: Which Pays More?
Side-by-side salary comparison by city, experience level, and career growth outlook. Data reflects current market rates.
Network Engineer
Design, implement, and manage computer network infrastructure.
AR/VR Developer
Build augmented and virtual reality experiences for gaming, enterprise, and training.
AR/VR Developer earns more on average — the national median is $1,930/year (1%) higher than a Network Engineer. However, salaries vary significantly by city, employer, and experience level — see the city-by-city breakdown below.
Network Engineer vs AR/VR Developer — Salary by City
National median figures in USD across top cities.
| City | Network Engineer | AR/VR Developer | Difference |
|---|---|---|---|
| San Francisco, CA | $195,491 | $194,489 | Network +$1,002 |
| New York, NY | $165,772 | $166,830 | Network $1,058 |
| Seattle, WA | $192,889 | $188,885 | Network +$4,004 |
| Austin, TX | $149,704 | $153,759 | Network $4,055 |
| Chicago, IL | $145,221 | $144,495 | Network +$726 |
| Boston, MA | $176,955 | $172,806 | Network +$4,149 |
| London, UK | £106,873 | £103,650 | Network +$3,223 |
| Toronto, Canada | CA$177,211 | CA$175,134 | Network +$2,077 |
Frequently Asked Questions
Does a Network Engineer or AR/VR Developer earn more?+
A AR/VR Developer earns more on average. The national median salary for a Network Engineer is $134,050/year, compared to $135,980/year for a AR/VR Developer — a difference of $1,930 (1%).
Which has better career growth — Network Engineer or AR/VR Developer?+
Network Engineer roles are growing at 6% YoY while AR/VR Developer demand is growing at 38% YoY. AR/VR Developer has stronger near-term demand growth.
Can you switch from Network Engineer to AR/VR Developer?+
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 — Network Engineer or AR/VR Developer?+
AR/VR Developer has a lower AI automation risk (28% vs 52%). Based on Oxford Martin School and McKinsey 2023 analysis.