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Product Quality Engineer II (1-year Fixed Term Contract))
Job Description
Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric experience that will put you in an accelerated growth, both personally and professionally.
Job Responsibilities
The Product Quality Engineer II is responsible for ensuring that products meet the required quality and reliability standards throughout the development cycle and into mass production. This role supports qualification activities, drives defect prevention, performs data driven analysis, and partners closely with Compliance, Engineering, Manufacturing, Supplier Quality, and Customer Support to resolve issues and improve product performance.
Product Quality & Reliability Qualification
Required Qualifications
Are you game
Job Responsibilities
The Product Quality Engineer II is responsible for ensuring that products meet the required quality and reliability standards throughout the development cycle and into mass production. This role supports qualification activities, drives defect prevention, performs data driven analysis, and partners closely with Compliance, Engineering, Manufacturing, Supplier Quality, and Customer Support to resolve issues and improve product performance.
Product Quality & Reliability Qualification
- 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 (where applicable) 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.
Required Qualifications
- Bachelor's degree in Engineering, such as Electrical, Mechanical, Electronics, Computer, Mechatronics, or a related discipline.
- 2–5 years of relevant experience in product quality, reliability engineering, product validation, testing, or hardware development.
- Strong knowledge of quality and reliability engineering principles, including environmental and reliability testing, failure mechanisms, statistical analysis, and Design of Experiments (DOE).
- Experience supporting NPI builds, reliability qualification, or mass-production quality activities.
- Familiarity with Quality Management Systems and quality documentation processes.
- Strong analytical, problem-solving, and troubleshooting skills, with a keen attention to detail and a continuous-improvement mindset.
- Good communication and collaboration skills, with the ability to work effectively across cross-functional teams and present technical findings clearly.
- Comfortable working in a fast-paced engineering environment and supporting local and occasional overseas builds, audits, and qualification activities.
- Experience using data-analysis and visualization tools such as Excel and Power BI.
- Exposure to AI/ML-based analytics, predictive modelling, or other data-driven engineering tools.
- Knowledge of scripting or programming using Python, R, Linux, or Windows.
- Previous experience in consumer electronics, hardware development, or a high-volume manufacturing environment.
Are you game
More Info
Key Skills
environmental and reliability testing
NPI builds
quality and reliability engineering principles
Design of Experiments (DOE)
reliability qualification
quality documentation processes
failure mechanisms
mass-production quality activities
AI/ML-based analytics
