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Salary
$69k – $165k per year (Estimated)
Location
In office (Singapore)
Seniority
Middle · 2+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Razer Inc. is a global consumer electronics and technology company specializing in high-performance hardware, software, and digital services designed specifically for gamers and content creators. Founded in 2005 by Min-Liang Tan and Robert Krakoff, the company is dual-headquartered in Irvine, California, and Queenstown, Singapore.

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 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.

The engineer leverage’s reliability methodologies, structured problem-solving, and AI-enabled analytics to identify risks early, improve quality coverage, and support continuous improvement efforts across the organization.

Essential Job Responsibilities

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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 :

Educational & Technical Background

  • 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.

Professional Experience

  • 2-5 years of experience in product quality, reliability engineering, validation, or hardware development.
  • Experience with NPI builds, reliability qualification, or mass-production quality support.
  • Familiarity with Quality Management Systems and documentation processes.

AI, Analytics & Tools

  • Ability to work with data-analysis tools (e.g., Excel, Power BI).
  • Exposure to AI/ML-based analytics or predictive modeling tools is an advantage.
  • Knowledge of scripting/programming (Python, R, Linux/Windows) is a plus.

Soft Skills & Competencies

  • Strong analytical, problem-solving, and troubleshooting skills.
  • Good communication skills with the ability to present findings clearly.
  • Team players with strong collaboration and cross-functional coordination abilities.
  • High attention to detail, ownership, and a continuous-improvement mindset.

Additional Requirements

  • Ability to support local and occasional overseas builds, audits, and qualification activities.
  • Ability to work in fast-paced, dynamic engineering environments.

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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