Remote Test Engineer — System-Level & AI-Driven Testing

NVIDIA Corporation; Singapore; On-site; SGD 72,000 - 108,000; Full time

Job summary

NVIDIA Singapore is seeking a Test Engineer to support System-Level Testing (SLT) for production floor activities, from bring-up to mass production. You will develop automated test systems, configure test stations, and collaborate with vendors to ensure quality in high-volume manufacturing.

The role requires hands-on hardware/software debugging, DOE planning, and data-driven yield improvements, with exposure to AI tools for automation and data analysis in a fast-paced environment.

Qualifications

• Bachelor's degree in Electrical, Electronic, or Mechanical Engineering.
• 5+ years in semiconductor or electronics manufacturing.
• Experience with SLT/NPI and high-volume manufacturing preferred.

Responsibilities

• Support SLT NPI manufacturing and engineering on production floor.
• Develop and improve automated test systems and thermal solutions.
• Set up, configure, qualify, and maintain test stations for NPI and production.
• Collaborate with cross-functional teams and vendors on test equipment.
• Plan and execute Design of Experiments (DOE) to identify root causes.
• Collect and analyze manufacturing data to drive yield improvements.
• Provide frontline engineering support and troubleshoot test-related issues.
• Develop test programs for system-level and chip-level debugging.
• Leverage AI to improve testing efficiency and automate workflows.

Skills

Automation testing

DOE

Linux scripting

Python

SQL

Troubleshooting

Data analysis

Cross-functional collaboration

Education

Bachelor's degree in Electrical/Electronic/Mechanical Engineering

Tools

Allegro PCB

Creo CAD

Job description

NVIDIA Singapore is seeking a Test Engineer to support System-Level Testing (SLT) for production floor activities, from bring-up to mass production. You will develop automated test systems, configure test stations, and collaborate with vendors to ensure quality in high-volume manufacturing.

The role requires hands-on hardware/software debugging, DOE planning, and data-driven yield improvements, with exposure to AI tools for automation and data analysis in a fast-paced environment.