NVIDIAProduct Quality Engineer - Automotive Chip
NVIDIA is hiring a Product Quality Engineer - Automotive Chip in Hong Kong, Hong Kong SAR China. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include C, Linux and Ate Tester.
- Level classifies it as a senior role.
- Level lists 2,700+ other open roles at NVIDIA.
AI in this role
Product Quality Engineer responsible for automating failure analysis and managing quality standards for automotive chip devices.
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
How we rate this
Product Quality Engineer - Automotive Chip at NVIDIA rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where quality assurance was part of your work. What did you do?
- Tell me about a project where failure analysis was part of your work. What did you do?
- Tell me about a project where semiconductors was part of your work. What did you do?
- Tell me about a project where automotive chips was part of your work. What did you do?
- Tell me about a project where troubleshooting was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Quality Assurance, Failure Analysis, Semiconductors, Automotive Chips, and Troubleshooting. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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