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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.
NVIDIA is a global leader in Artificial Intelligence (AI), High-Performance Computing (HPC), Gaming, and Autonomous Technologies. Our Operations team plays a key role in supporting manufacturing and delivering NVIDIA GPU and SoC products to customers worldwide. We are looking for a motivated and solution-oriented engineer who enjoys solving technical challenges and driving continuous improvements in System-Level Test (SLT) operations. This role offers the opportunity to work on cutting-edge products, support production ramp-ups and new product bring-up, and make a direct impact on manufacturing quality and efficiency in a fast-paced environment.
Support all SLT NPI manufacturing and engineering activities in production floor, from product bring-up through mass production. Develop and improve automated test systems and thermal solutions for System-Level Testing (SLT). Perform test station setup, hardware configuration, qualification, and maintenance for NPI and production. Collaborate with cross-functional teams and vendors on the design, development, and validation of test equipment. Plan and execute Design of Experiments (DOE) to identify root causes and resolve production issues. Collect, analyze, and interpret manufacturing data to drive yield and productivity improvements. Provide frontline engineering support to production operations and troubleshoot test-related issues in real time. Develop and maintain test programs and tools for system-level and chip-level debugging, validation, and failure analysis. Leverage the latest AI technologies to improve testing efficiency, automate workflows, enhance data analysis, and drive quality improvements.
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