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Salary
≈ $41k – $82k per year (Estimated)
Location
In office (Singapore)
Seniority
Middle · 2+ years exp
Employment
Contractor

Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Sep 30, 2026. Razer scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Razer is a gaming hardware and lifestyle company founded in 2005 by a Singaporean lawyer and an American engineer who believed gaming peripherals were being designed by people who did not play games. It sells gaming laptops, mice, keyboards, headsets, controllers and chairs, and it built the Chroma lighting ecosystem and Synapse software that turned peripheral configuration into a platform other manufacturers now support. Dual headquartered in Irvine, California and Singapore, it was listed in Hong Kong until being taken private in 2022 and has an unusually devoted following among younger gamers.

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 #LifeAtRazer 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

  • 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.

Data Analysis & AI-Supported Quality Improvement

  • 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.

Issue Resolution & Root-Cause Analysis

  • 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.

Process & Documentation Management

  • 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.

Cross-Functional Collaboration

  • 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.

Supplier & External Lab Support

  • Coordinate with external test labs to ensure accurate and timely qualification results.
  • Validate supplier test results and support supplier quality improvements as needed.

Pre-Requisites :

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.

Preferred Qualifications

  • 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.

Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best.

Are you game?

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