NVIDIA에서 반도체 생산 테스트 엔지니어를 채용합니다. Wafer Sort(CP) 및 Final Test(FT) 환경에서의 5년 이상 경력이 필수이며, ATE 장비 운영 및 수율 분석 역량이 중요합니다. AI 기반 데이터 분석 도구를 활용하여 공정 효율을 개선하고 글로벌 팀과 협업하게 됩니다. 반도체 제조 분야의 전문성을 갖춘 분들의 많은 지원 바랍니다.
For over 25 years, NVIDIA has been revolutionizing computer graphics, PC gaming, and accelerated computing. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Creating what has yet to be realized calls for imagination, inventiveness, and exceptional talent worldwide. As an NVIDIAN, you’ll be engaged in an inclusive, encouraging setting where everyone is motivated to perform at their highest level. Join our team and discover how you can build a lasting impact on the world.
Join NVIDIA’s Network Business Unit (NBU) as a Test Production Engineer and be part of a team advancing AI and computing! Our engineers lead high-volume production and new product introduction (NPI) of innovative silicon. In this role, you’ll oversee test operations in both Wafer Sorting (CP) and Final Testing (FT) settings. You will ensure detailed execution and continuous improvement of production processes. Your efforts will be vital for yield improvement and advanced problem-solving in our manufacturing operations. This is an outstanding opportunity to grow in a collaborative and pioneering environment, working on the next generation of AI and data center platforms.
Providing support for Wafer Sort (CP) and Final Test (FT) activities on the Amkor test floor, handling a range of equipment including testers, handlers, and probers.
Applying strong technical and troubleshooting skills to debug hardware and software issues across control plane and fault tolerance environments.
Analyzing yield relationships and investigating root causes across Wafer Sort (CP) and Final Test (FT), pinpointing issues and promoting resolution.
Monitoring pre-test preparation of materials and hardware, setting up test environments, and ensuring smooth execution of test programs.
Ensuring testing is performed as required, actively debugging and resolving issues related to test yield, correlation, and equipment performance.
Bringing to bear modern data analysis and AI-assisted tools to improve debugging efficiency, identify failure patterns, and support data-driven decision making.
Collaborating closely with local planning, engineering, and management teams, as well as communicating with NVIDIA global teams.
Maintaining strong attention to detail, organization, and communication skills, and adapting to changing priorities in a fast-paced production environment.
Bachelor’s degree in Electrical Engineering, Electronics, or a related technical field (or equivalent experience).
5+ years of experience in a semiconductor or electronic manufacturing environment.
Practical background in either Wafer Sort (CP) or Final Test (FT), with preference for experience in both.
Strong debugging skills in ATE environments, including hardware and test program issues.
Proven grasp of test flow from CP to FT, including yield analysis and correlation.
Foundational knowledge of data analytics and familiarity with AI-assisted tools.
Good verbal and written communication skills in English.
Ability to balance multiple tasks in a dynamic production setting.
Strong problem-solving skills and ownership approach.
Experience with both CP and FT environments, including yield correlation and debug.
Proficiency in using AI or automation tools to analyze test data, identify patterns, or improve engineering efficiency.
Exposure to advanced packaging technologies, including Co-Packaged Optics (CPO), optical integration, or heterogeneous integration platforms.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
