Product Quality Engineer - Automotive Chip

NVIDIA Corporation

Hong Kong

Vor Ort

HKD 420.000 - 540.000

Vollzeit

14 Tage+

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Zusammenfassung

NVIDIA Corporation in Hong Kong is seeking a Product Quality Engineer with 3+ years of experience in the semiconductor industry to lead failure analysis automation from NPI through EOL. You will collaborate with design, test, and manufacturing teams to manage customer complaints, drive root cause analysis, and implement corrective actions while improving quality processes.

You will be involved in hands-on testing, DFMEA input, and ongoing monitoring of quality performance to prevent production

Qualifikationen

  • BS or MS in Electrical or Computer Engineering or related field.
  • 3+ years in product quality/test engineering or similar role.
  • Strong knowledge of quality control principles and practices.
  • Experience with quality management systems and tools.
  • Excellent problem-solving and analytical skills.
  • Strong communication and teamwork abilities.
  • Attention to detail and commitment to excellence.

Aufgaben

  • Implement quality control procedures and standards.
  • Analyze product specifications and ensure regulatory/industry compliance.
  • Conduct inspections and tests to identify defects.
  • Collaborate with engineering and cross-functional teams to resolve quality issues.
  • Monitor and report quality performance and trends.
  • Provide guidance on quality standards and procedures.
  • Continuously improve quality processes and practices.
  • Cover test tools bring-up, maintenance, and sustaining product activities.
  • Share lessons learned and input DFMEA to mitigate risks.

Kenntnisse

Quality control
Analytical thinking
Team collaboration

Ausbildung

BS or MS in Electrical or Computer Engineering

Tools

C/C++ scripting
ATE testing
Socket board test
Lab instruments

Jobbeschreibung

We are looking for a talented Product Quality Engineer (PQE) with 3+ years of technical experience in the semiconductor industry. The candidate will be responsible for automating failure analysis from the NPI phase of the product life cycle through EOL. The primary objective is to collaborate with cross-functional teams to manage and resolve customer complaints and escalations for the chip devices. Moreover, the candidate will also need to support root cause identification and drive corrective action implementation.

What you'll be doing:
  • Implement quality control procedures and standards.
  • Analyze product specifications and ensure compliance with industry standards.
  • Conduct inspections and tests on products to identify defects or issues.
  • Collaborate with engineering and cross-functional teams to resolve quality issues.
  • Monitor and report on quality performance and trends.
  • Provide support to team members on quality standards and procedures.
  • Continuously improve quality processes and practices.
  • Cover test tools bring-up, maintenance, and sustaining product activities.
  • Share lessons learned from previous field quality issues; give early input via DFMEA to ensure known quality, reliability, and production issues are identified, and risks are mitigated.
What we need to see:
  • BS Degree or MS Degree in Electrical or Computer Engineering or a related field.
  • At least 3 years of experience in product quality / test engineering or a similar role.
  • Strong knowledge of quality control principles and practices.
  • Experience with quality management systems and tools.
  • Excellent problem-solving and analytical skills.
  • Strong communication and teamwork abilities.
  • Attention to detail and a commitment to excellence.
Ways to stand out from the crowd:
  • Good knowledge of CPU / SoC / Automotive products and standards is a plus.
  • Hands-on expertise in scripting languages such as C / C++ / Linux code.
  • Expertise in Automatic Test Equipment (ATE Tester) and Socket Board test programming for ICFA troubleshooting.
  • Hands-on experience with the use of lab tools like CSAM, IR, Elite, EDS etc.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

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