SWE Salary by Company Estimator
Estimate SWE salaries by company: FAANG, MANGA, and startups. Compare base pay, bonuses, and equity with this salary estimator tool.
Understanding your market value as a Software Engineer (SWE) is critical when negotiating job offers, evaluating career growth, or considering a job change. The SWE Salary by Company Estimator provides data-driven estimates of total compensation—including base salary, bonuses, and equity—across FAANG, MANGA, and other leading tech companies. This tool combines public compensation data from Levels.fyi, Bureau of Labor Statistics (BLS), and LinkedIn Talent Insights to help you benchmark salaries by company, experience level, and location.
Compensation in tech varies significantly based on factors like company size, geographic location, and job level. For example, a Staff Software Engineer (L6) at Google or Meta in San Francisco might earn an estimated $300K-$400K total compensation (TC), while a senior engineer at a non-FAANG company in a lower-cost area could see $150K-$200K. Equity—often the largest variable—can fluctuate based on company performance and vesting schedules. This tool annualizes equity over 4 years to provide a comparable estimate to cash compensation.
Use the SWE Salary by Company Estimator to explore how your current or prospective salary compares to industry benchmarks. Adjust the inputs to see how changes in company, location, or experience level impact total compensation. All figures are estimates—actual offers may vary based on individual negotiations, market conditions, and company-specific policies. For precise data, consult Levels.fyi or your recruiter.
How It Works
This calculator estimates total annual compensation for Software Engineers (SWEs) by combining base salary, bonuses, and equity. Here’s how the calculations break down:
- Base Salary: Derived from Levels.fyi and BLS data, adjusted for company and location multipliers.
- Bonus: Assumed to be 10% of base salary (typical for FAANG; may be lower for non-FAANG).
- Equity: Calculated as a percentage of total compensation (input) and annualized over 4 years.
- Location Multiplier: Adjusts compensation based on cost-of-living differences (e.g., SF/NYC vs. remote or non-US).
The tool also provides an estimated effective tax rate (US-only) and post-tax compensation based on progressive tax brackets. Tax estimates do not account for state taxes, deductions, or international variations.
Methodology Note
This tool uses the following data sources to generate estimates:
- Levels.fyi: Primary source for company-specific compensation data, including salary bands and equity grants by level.
- Bureau of Labor Statistics (BLS): Provides median salaries for SWE roles nationally, adjusted for experience.
- LinkedIn Talent Insights: Aggregates compensation trends for top tech companies.
- Glassdoor: Supplemental source for bonus structures and location-based adjustments.
Important Disclaimer: All figures are estimates and should not be interpreted as exact or guaranteed compensation. Actual salaries, bonuses, and equity grants vary based on individual negotiations, company policies, market conditions, and location-specific factors. Equity values are particularly volatile, depending on company performance, stock price, and vesting schedules. For precise data, consult Levels.fyi, job offers, or company recruiters.
Frequently Asked Questions
This tool provides estimates based on aggregated public data from Levels.fyi, BLS, and LinkedIn. While it reflects typical compensation ranges for SWEs at FAANG/MANGA companies, individual offers may vary by ±20-30%. Always verify with actual job offers or recruiter discussions.
Equity grants are highly variable and depend on company performance, stock price, and vesting schedules. This tool annualizes equity over 4 years (a common vesting period) to provide a comparable value to salary and bonuses. Actual equity may vest at different rates or be subject to cliffs (e.g., 1-year cliff before quarterly vesting).
Location multipliers are based on cost-of-living adjustments and compensation data from Levels.fyi and LinkedIn. For example, San Francisco and NYC are set at 1x (baseline), while remote roles in Midwestern US cities might be 0.75x. Non-US locations are adjusted based on Purchasing Power Parity (PPP) data.
Yes! The tool includes multipliers for MANGA companies (e.g., Microsoft, NVIDIA), unicorn startups (e.g., Stripe, Airbnb), and other public tech companies. Startups typically offer lower base salaries but higher equity percentages (e.g., 20-30% of TC).
No, this tool focuses on annual compensation (base + bonus + equity). Signing bonuses (typically $10K-$50K) and relocation stipends are one-time payments and are not included in the calculations. These are often negotiable during offer discussions.
The post-tax estimate applies US federal tax brackets to gross compensation. It does not account for state taxes, 401(k) contributions, or other deductions. Always consult a tax professional for precise calculations.
The tool simplifies companies into broad categories (FAANG, MANGA, startups, etc.) to provide general estimates. For company-specific data, visit Levels.fyi or ask your recruiter during offer discussions.
Yes, but the post-tax compensation estimate only applies to US tax filers. Non-US compensation varies widely by country, tax laws, and local market conditions. The tool adjusts base salaries using PPP data, but bonus/equity structures may differ significantly (e.g., some countries cap bonuses at 1 month’s salary).
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