Software Engineering salaries in California
Software Engineering professionals in California earn $173.8–248.3K per year on average, based on 15 jobs. Software Engineering roles in California pay 7% above the board-wide average of $163.9–229.5K for Software Engineering jobs on Get AI Careers. Pay ranges from $155.7–223K for Mid-level roles up to $186–265.1K at the Senior level.
Average salary range
$173.8–248.3K
Based on 15 jobs · 7% more than the average salary on Get AI Careers
25th percentile
$142.5K
Average
$211.1K
75th percentile
$294K
Software Engineering salaries by seniority in California
Software Engineering salaries in California range from $155.7–223K for Mid-level roles to $186–265.1K for Senior positions.
| Seniority | Avg. salary | Jobs | vs Avg. on Get AI Careers |
|---|---|---|---|
| Mid-level | $155.7–223K | 6 | -4% |
| Senior | $186–265.1K | 9 | +15% |
Other top paying titles in California
Highest paying job titles in California beyond Software Engineering, ranked by average salary.
Machine Learning Engineering
Avg. $179.6–273.6K · 12 Jobs
Platform Engineering
Avg. $165.1–232.7K · 11 Jobs
Backend Engineering
Avg. $170.8–241.9K · 9 Jobs
Data Engineering
Avg. $147.3–197.2K · 8 Jobs
DevOps Engineering
Avg. $166.6–225K · 7 Jobs
AI/ML Engineering
Avg. $160–237.7K · 7 Jobs
Top paying skills in California
Highest paying skills in California, ranked by average salary.
Python
Avg. $166.1–238.6K · 47 Jobs
Kubernetes
Avg. $162.9–250.3K · 22 Jobs
PyTorch
Avg. $178–263.6K · 22 Jobs
AWS
Avg. $164.8–229.6K · 17 Jobs
Machine Learning
Avg. $188.9–265.2K · 16 Jobs
Terraform
Avg. $166.3–233.9K · 15 Jobs
Other locations for Software Engineering
Compare Software Engineering salaries in other locations.
United States
Avg. $173.2–244.8K · 29 Jobs
New York
Avg. $188.8–253.6K · 7 Jobs
San Francisco, CA
Avg. $173.7–276K · 5 Jobs
Palo Alto, CA
Avg. $168.3–246.7K · 3 Jobs
Virginia
Avg. $136.7–226.8K · 3 Jobs
Software Engineering salary FAQs for California
All salary figures are converted to annual equivalents in USD. Averages are based on published jobs with salary data and filtered for statistical outliers.