Senior QA Engineer

onto innovation southeast asia pte. limited; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Onto Innovation is seeking a Senior Software Quality Engineer in Singapore to ensure quality and release readiness for its MBU software and related semiconductor metrology platforms. The role covers end-to-end system validation, test automation, AI-assisted quality engineering, and cross-functional collaboration.

You will drive test strategies, automation frameworks, and collaboration with SD, PM, and support teams to maintain high quality and rapid release cycles.

Qualifications

• Bachelor's or Master's degree in related field.
• 5+ years of software quality assurance or testing experience.
• Experience creating test strategies, plans, and release criteria.
• Proficiency in at least one programming or scripting language (Python, C#, Java, JavaScript/TypeScript, or PowerShell).
• Hands-on experience with Azure DevOps, Git/GitHub, CI/CD pipelines.

Responsibilities

• Develop and execute test strategies, plans, and cases based on requirements.
• Perform functional, integration, system, regression, and performance testing.
• Automate tests and integrate with CI/CD pipelines.
• Collaborate with cross-functional teams to enable release readiness.
• Track quality metrics and communicate risks and trends.

Skills

Analytical skills

Troubleshooting

Communication

Cross-functional collaboration

Agile/Scrum

Test automation frameworks

Education

Bachelor's or Master's degree in Computer Science/Engineering

Tools

Azure DevOps

Git

GitHub

CI/CD

Job description

Job Summary:

The Senior Software Quality Engineer will help ensure the quality, reliability, and release readiness of Onto Innovation's MBU software product, and related semiconductor metrology software platforms. The role combines end-to-end system validation, test automation, AI‑assisted quality engineering, customer escalation support, and cross‑functional collaboration.

Responsibilities:

Software Quality Assurance:

• Develop and execute comprehensive test strategies, test plans, and test cases based on product requirements, system specifications, and technical designs.
• Perform functional, integration, system, interface, regression, performance, benchmarking, and end‑to‑end workflow testing.
• Validate workflows spanning equipment operation, measurement data acquisition, recipe setup, analysis, and solution output.
• Participate in release planning, quality risk assessment, defect triage, and release readiness reviews.
• Track and communicate quality metrics, defect trends, test coverage, and release risks.

Test Automation and DevOps:

• Design, develop, maintain, and improve scalable automated test frameworks and regression suites.
• Automate high‑value functional, integration, regression, API, workflow, and performance tests.
• Integrate automated tests with Azure DevOps (ADO) pipelines and CI/CD workflows.
• Use Git and GitHub for source control, code review, collaboration, and automation asset management.
• Improve automation coverage, test execution efficiency, repeatability, traceability, and release confidence.

AI‑Assisted Quality Engineering:

• Use AI‑assisted engineering tools such as GitHub Copilot, Microsoft Copilot, and approved large language model (LLM) technologies to improve engineering productivity.
• Apply AI‑assisted approaches to test design, test case generation, test script development, defect investigation, log analysis, root‑cause exploration, and technical documentation.
• Evaluate AI-generated outputs critically and ensure that automated test assets meet quality, security, privacy, and maintainability expectations.
• Identify practical opportunities to introduce AI‑enabled quality engineering while maintaining appropriate human review and governance.

Customer Escalation and Collaboration:

• Reproduce, investigate, document, and validate customer‑reported software issues.
• Collaborate with Software Development, Product Management, Applications, Characterization, Customer Support, Field Service, and other stakeholders to resolve critical issues.
• Help translate customer impact into clear engineering priorities, validation plans, and release recommendations.
• Contribute to root‑cause analysis, corrective actions, preventive actions, and continuous process improvement.

Provide technical guidance and mentoring to other SQAengineers when needed.

Qualifications:

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Software Engineering, Engineering, Physics, Chemistry, Material Science, or a related discipline.
• Five or more years of software quality assurance, software testing, test automation, or related engineering experience.
• Strong knowledge of software quality assurance methodologies, tools, processes, and defect management practices.
• Experience creating comprehensive test strategies, test plans, test cases, and release validation criteria.
• Hands‑on experience designing or maintaining automated testing solutions.
• Proficiency in at least one programming or scripting language, such as Python, C#, Java, JavaScript/TypeScript, or PowerShell.
• Hands‑on experience with Azure DevOps (ADO), Git/GitHub, CI/CD pipelines, work‑item tracking, and test management practices.
• Strong analytical, troubleshooting, communication, and cross‑functional collaboration skills.
• Experience working in Agile or Scrum software development environments.

Preferred Qualifications:

• Practical experience using GitHub Copilot, Microsoft Copilot, or similar AI‑assisted software engineering tools.
• Experience applying AI or machine learning techniques to software testing, defect analysis, quality analytics, or engineering productivity.
• Experience testing distributed systems, APIs, services, desktop applications, databases, hardware/software integrations, or complex end‑to‑end workflows.
• Experience supporting customer escalations and working with global customers, applications teams, field teams, or customer support organizations.
• Knowledge of semiconductor front‑end processes, optical metrology, thin‑film metrology, OCD metrology, numerical analysis, machine learning, or material characterization.
• ISTQB or another relevant software testing certification.