N

NVIDIA

Designs the chips and software that power AI

Product Quality Engineer - Automotive Chip

Quality EngineeringConfirmed live in the last 24 hours
Full-timeHong KongNo salary listedIn-person

About the Job

Requirements

  • 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.
  • Good knowledge of CPU, SoC, or automotive products and standards is a plus.
  • Hands-on expertise in scripting languages such as C, C++, or Linux code is preferred.
  • Expertise in Automatic Test Equipment (ATE Tester) and Socket Board test programming for ICFA troubleshooting is preferred.
  • Hands-on experience using lab tools such as CSAM, IR, Elite, and EDS is preferred.

Responsibilities

  • Automate failure analysis from the NPI phase of the product life cycle through EOL.
  • Collaborate with cross-functional teams to manage and resolve customer complaints and escalations for chip devices.
  • Support root cause identification and drive corrective action implementation.
  • 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; provide early input via DFMEA to identify known quality, reliability, and production issues and mitigate risks.

Desired Qualifications

  • Good knowledge of CPU, SoC, or automotive products and standards.
  • Hands-on expertise in scripting languages such as C, C++, or Linux code.
  • Expertise in Automatic Test Equipment (ATE Tester) and Socket Board test programming for ICFA troubleshooting.
  • Hands-on experience using lab tools such as CSAM, IR, Elite, and EDS.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

Recently Posted Jobs

Explore more opportunities at NVIDIA

See more jobs