System-Level Test Engineer for AI-Driven Manufacturing

NVIDIA Corporation; Singapore; Remote; SGD 90,000 - 150,000; Full time

Job summary

NVIDIA is seeking a motivated engineer to support System-Level Test (SLT) and New Product Introduction (NPI) manufacturing on the production floor in Singapore. You will develop and maintain automated test systems and thermal solutions, set up test stations, and collaborate with cross functional teams and vendors.

You will run DOE studies, analyze manufacturing data, and troubleshoot test issues in real time to improve quality and throughput.

Qualifications

• Bachelor's degree in Electrical Engineering, Electronic Engineering, Mechanical Engineering, or a related field.
• 5+ years of experience in the semiconductor or electronics manufacturing industry.
• Proficiency in Linux shell scripting, Python, SQL; AI tools for automation and data analysis.

Responsibilities

• Support SLT/NPI manufacturing and engineering activities from product bring-up through mass production.
• Develop and improve automated test systems and thermal solutions for SLT.
• Plan and execute DOE to identify root causes and resolve production issues.
• Collect and interpret manufacturing data to drive yield and productivity improvements.
• Provide frontline engineering support to production operations and troubleshoot test-related issues.

Skills

System-Level Testing

Troubleshooting & debugging

Data analysis

Education

Bachelor's degree in Electrical/Electronic/Mechanical Engineering or related field

Tools

Python

SQL

Linux shell scripting

Allegro (PCB design)

Creo (CAD)

Job description

NVIDIA is seeking a motivated engineer to support System-Level Test (SLT) and New Product Introduction (NPI) manufacturing on the production floor in Singapore. You will develop and maintain automated test systems and thermal solutions, set up test stations, and collaborate with cross functional teams and vendors.

You will run DOE studies, analyze manufacturing data, and troubleshoot test issues in real time to improve quality and throughput.