Production Test Engineer

Job Title

Production Test Engineer

Role Summary

Join NVIDIA’s Network Business Unit as a Production Test Engineer responsible for overseeing test operations in Wafer Sort (CP) and Final Test (FT) for high-volume production and new product introduction. The role focuses on execution, yield improvement, debugging, and continuous process improvement in a manufacturing environment.

Experience Level

Mid-level — requires 5+ years of experience in semiconductor or electronic manufacturing.

Responsibilities

Deliver reliable test operations and improve production yield through troubleshooting, data analysis, and cross-functional collaboration.

• Support Wafer Sort (CP) and Final Test (FT) activities, including testers, handlers, and probers on the Amkor test floor.
• Debug hardware and software issues across control plane and fault-tolerant environments.
• Analyze yield relationships; investigate root causes and drive corrective actions.
• Prepare pre-test materials and hardware; set up test environments and ensure test program execution.
• Monitor test yield, correlation, and equipment performance; resolve issues to meet production targets.
• Use data analysis and AI-assisted tools to improve debugging efficiency and identify failure patterns.
• Collaborate with local planning, engineering, management, and global teams; communicate findings clearly.
• Maintain strong attention to detail and adapt to shifting priorities in a fast-paced production setting.

Requirements

Must-have technical experience and skills required to perform the role; nice-to-have items listed separately.

• 5+ years experience in a semiconductor or electronic manufacturing environment.
• Practical experience in Wafer Sort (CP) or Final Test (FT); preference for experience in both.
• Strong debugging skills in ATE environments (hardware and test program issues).
• Proven understanding of test flow from CP to FT, including yield analysis and correlation.
• Foundational knowledge of data analytics and familiarity with AI-assisted tools for test data.
• Good verbal and written communication skills in English.
• Ability to manage multiple tasks and exercise ownership in a dynamic production setting.
• Strong problem-solving and organizational skills.

Nice-to-have:

• Experience using AI or automation tools to analyze test data and improve engineering efficiency.
• Experience across both CP and FT environments with yield correlation and debug.
• Exposure to advanced packaging technologies such as Co-Packaged Optics (CPO), optical integration, or heterogeneous integration.

Education Requirements

Bachelor’s degree in Electrical Engineering, Electronics, or a related technical field, or equivalent practical experience.

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.