Senior QA Engineer - AI-Driven Test Automation

Onto Innovation; Singapore; On-site; SGD 90,000 - 140,000; Full time

Benefits offered by this job

Health and wellness benefits

PTO and leave programs

401K with employer match

Job summary

Onto Innovation is seeking a Staff QA Engineer to ensure quality, reliability, and release readiness of the MBU software suite and related metrology platforms. You will drive end-to-end validation, test automation, AI-assisted quality engineering, and cross-functional collaboration.

Ideal candidates have 5+ years in software quality, strong automation and DevOps experience, and ability to work with AI-assisted tooling in a fast-paced semiconductor software environment.

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, Engineering, Physics, Chemistry, Materials Science, or related discipline.
• Five or more years of software quality assurance, software testing, test automation, or related engineering experience.
• Hands-on experience with automated testing solutions and at least one programming language.

Responsibilities

• Develop and execute comprehensive test strategies, test plans, and test cases based on product requirements and designs.
• Perform functional, integration, system, interface, regression, performance, and end-to-end testing.
• Design, develop, maintain, and improve automated test frameworks and regression suites.
• Collaborate with cross-functional teams and support customer escalations when needed.

Skills

Python

C#

Java

JavaScript/TypeScript

PowerShell

Azure DevOps

GitHub

CI/CD

Test Automation

Agile/Scrum

Education

Bachelor's or Master's in CS/Software Engineering/Engineering/Physics/Material Science or related

Tools

Azure DevOps

GitHub

CI/CD pipelines

Job description

Onto Innovation is seeking a Staff QA Engineer to ensure quality, reliability, and release readiness of the MBU software suite and related metrology platforms. You will drive end-to-end validation, test automation, AI-assisted quality engineering, and cross-functional collaboration.

Ideal candidates have 5+ years in software quality, strong automation and DevOps experience, and ability to work with AI-assisted tooling in a fast-paced semiconductor software environment.