Назад
2 дня назад

Product Quality Engineer II (AI)

Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Singapore
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Product Quality Engineer II (AI): Executing quality and reliability qualifications for new product introductions and mass-production hardware with an accent on reliability testing, data-driven analysis, and defect prevention. Focus on failure analysis, CAPA, AI-supported risk detection, supplier validation, and cross-functional quality improvements.

Location: Singapore

Company

Razer develops gamer-centric products and operates with a global team across five continents.

What you will do

  • Execute quality and reliability qualifications for new product introductions and ensure testing meets defined standards.
  • Analyze test data, failure trends, and product performance metrics using data-analysis and AI/ML-supported tools where applicable.
  • Perform failure analysis, structured problem-solving, and corrective and preventive actions with Engineering.
  • Maintain quality test plans, qualification standards, process documentation, and QMS records.
  • Partner with R&D, Manufacturing, Supplier Quality, Compliance, and Customer Support on factory builds, audits, production validation, and quality improvements.
  • Coordinate with external laboratories and validate supplier test results.

Requirements

  • Degree in Electrical, Mechanical, Electronics, Computer, Mechatronics, or related Engineering.
  • 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.
  • Knowledge of environmental and reliability testing, failure mechanisms, statistical analysis, and DOE.
  • Familiarity with Quality Management Systems and documentation processes.
  • Strong analytical, troubleshooting, communication, collaboration, and continuous-improvement skills.

Nice to have

  • Exposure to AI/ML-based analytics or predictive modeling tools.
  • Knowledge of Python, R, Linux, or Windows scripting and programming.

Culture & Benefits

  • Opportunity to contribute to products used by gamers globally.
  • Collaboration with a global, cross-functional engineering organization.
  • Support for local and occasional overseas builds, audits, and qualification activities.
  • Inclusive and respectful workplace with reasonable accommodations where needed.

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