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Failure Analysis Engineer Salary in Singapore
How much does a Failure Analysis Engineer make in Singapore?
$95,700 (SGD)/year
Average Bonus
$3,522 (SGD)
per Year
Total Compensation
$98,001.76
Entry Level
$68,118
Median
$94,480
Senior Level
$109,175
As of July, 08, 2026, the average failure analysis engineer gross salary in Singapore is $95,700 or an equivalent hourly rate of $46. In addition, failure analysis engineers earn an average bonus of $3,522. An entry level failure analysis engineer with 1-3 years of experience earns an average salary of $68,118. At the higher end of the pay range, a senior level failure analysis engineer with 8+ years of experience earns an average salary of $109,175. Salary estimates are based on salary survey data collected directly from employers in Singapore.
Data powered by ERI
Salary Potential for a Failure Analysis Engineer
Explore the estimated salary growth for a Failure Analysis Engineer in Singapore for up to 5 years. The estimated salary of a Failure Analysis Engineer will be $97,917 in 1 year and $107,312 in 5 years.
View Salary by Year
Estimated Salary
$100,186
Average Growth
4.7%
The estimated salary for a Failure Analysis Engineer in 2 years is $100,186, which is 4.7% average growth. This information is based on ERI's compensation database.
Typical Failure Analysis Engineer Education
Education data not available for this job
Popular Skills for a Failure Analysis Engineer
Skills data not available for this job
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Frequently Asked Questions
What does a Failure Analysis Engineer do?
Reviews and analyzes errors affecting a company's product or service processes. Develops and executes various failure analyses on workflow, systems, and components to identify root cause of failures. Analyzes failure reports from observations, production lots with low yields, reliability stress test rejects, customer complaints/user feedback, and test results.
How much does a Failure Analysis Engineer make in Singapore?
The average salary for a Failure Analysis Engineer is $95,700 per year or $46.01 per hour in Singapore. Top earners have reported making up to $109,175. However, the typical pay range in Singapore is between $68,118 and $109,175 annually.
What is the salary trajectory for a Failure Analysis Engineer?
Failure Analysis Engineer is projected to see a 12.1 % salary change in 5 years.
How can you increase your salary?
Increasing your salary often starts with understanding your value in today’s job market. You can increase your earning potential by building your skills, advancing your education, moving into a new role or industry, switching companies, or negotiating pay.
How can you negotiate a salary offer?
Negotiating a salary offer involves preparation and finding our your market value. Use our salary calculator to find out how much you should be paid based on what someone in your area, with similar experience, earns. Use this personalized report to help negotiate a higher salary offer or find your dream career.
What are some factors that impact Failure Analysis Engineer salaries?
Several factors can impact your salary, including experience, company size, job market, location, industry, and more. Understanding how these factors affect your role can help you spot pay gaps and provide opportunities for a competitive salary.
About Our Data
This page is an excerpt of the much more complete compensation information available in ERI's Assessor Series.
ERI compiles the most robust and accurate salary, cost-of-living, and executive compensation survey database available. Data are analyzed using AI and traditional statistics, depending on which approach is best for a particular application. ERI collects salary survey data from five different sources, which you can learn about here.
Verified Sources
Data sourced from internal salary surveys, purchased surveys, public sources, HRIS data, and proprietary databases.
Real-Time Data
Our salary database is updated and verified approximately every six weeks.
Quality Assurance
Along with our data scientists, we have included AI in our rigorous process to analyze and provide the highest quality data.
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