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Memory Silicon Validation Engineer (RDSS Intern)

NVIDIA

Taiwan, Taipei permanent

Posted: January 20, 2026

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Job Description

By submitting your resume, you’re expressing interest in our 2026 RDSS (Research and Development Substitute Services) program. Please confirm your eligibility with the local district office before applying the role. NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company, and build our teams with the smartest people in the world. Join us at the forefront of technological advancement. We are now looking for a Memory Silicon Validation Engineer (RDSS Intern). NVIDIA’s silicon validation engineers are responsible for designing NVIDIA’s GPUs and SoCs into cutting edge desktop, notebook, professional, and mobile solutions. What you’ll be doing: Participate in silicon bring-up & validation of new silicon with the objective of driving product to mass production. Plan, develop and execute testing to validate a specific interface on the NVIDIA GPU/SoC silicones. Validate chip diagnostic software and tools to perform characterization to ensure compliance to industry standards. Design or commission tools on evaluation platforms to automate and optimize characterization, data collection, test case execution, and results analysis. Find innovative solutions to complex silicon and system level problems in order to enable product shipment. Debug ASIC and board issues related to logic design & signal integrity. Architect essential next-generation product features and work in multi-functional teams to drive them to production. Gain knowledge, experience, and best practices in validating a state-of-the-art GPU/SoC. What we need to see: Pursuing MS in EE Engineering. Good knowledge of memory signal integrity and analog interface characterization. Detail oriented, reliable, Self-motivated and able to work under pressure. Experience with scripting languages in one or more of Python, JavaScript, Perl. Experienced with lab tools (oscilloscopes, multimeters, logic analyzers) Good communication skills in English. Experienced with PCB layout and high-speed board design issue. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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