Quality Engineer II: AI-Driven NPI & Reliability

Razer; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Razer seeks a Product Quality Engineer to ensure hardware and software products meet reliability standards across development and mass production. You will drive qualification activities, data‑driven analysis, and cross‑functional collaboration with R&D, Manufacturing, Supplier Quality, and Customer Support.

You will leverage AI‑enabled analytics and DOE methods to identify risks early, improve quality coverage, and support continuous improvement efforts across the organization, including local

Qualifications

• Degree in Engineering (Electrical, Mechanical, Electronics, Computer, Mechatronics, or related).
• Strong foundation in quality engineering, reliability engineering, or product validation/testing.
• Knowledge of environmental and reliability testing methods, standards, and tools.
• Understanding of reliability concepts, failure mechanisms, statistical analysis, and DOE.

Responsibilities

• Execute quality and reliability qualifications for new product introductions (NPI).
• Ensure all tests, coverage, and reliability assessments meet defined standards.
• Support milestone readiness through structured quality reviews.
• Analyze test data, failure trends, and product performance metrics.
• Use AI/ML‑driven tools to enhance defect detection and predictive risk analysis.
• Generate dashboards and reports to support decision making.
• Work with Engineering to perform detailed failure analysis and drive corrective & preventive actions (CAPA).
• Participation in structured problem‑solving activities
• Ensure timely containment and resolution of quality issues.
• Maintain and update quality test plans, process documentation, and qualification standards.
• Support continuous improvement of quality workflows, testing efficiency, and data accuracy.
• Ensure compliance with quality management system (QMS) requirements.
• Partner with R&D, Manufacturing, Supplier Quality, and Customer Support teams on quality improvements.
• Support factory builds, reliability runs, supplier audits, and production validation activities.
• Communicate findings and risks clearly to stakeholders.
• Coordinate with external test labs to ensure accurate and timely qualification results.
• Validate supplier test results and support supplier quality improvements as needed.

Skills

Data analysis

Quality engineering

Reliability engineering

Python

Power BI

Communication

Cross-functional collaboration

Education

Engineering degree

Tools

Excel

Power BI

Python

DOE (Design of Experiments)

Job description

Razer seeks a Product Quality Engineer to ensure hardware and software products meet reliability standards across development and mass production. You will drive qualification activities, data‑driven analysis, and cross‑functional collaboration with R&D, Manufacturing, Supplier Quality, and Customer Support.

You will leverage AI‑enabled analytics and DOE methods to identify risks early, improve quality coverage, and support continuous improvement efforts across the organization, including local