[2026 研發替代役] Product Development Engineer (RDSS Intern)

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing — with the GPU acting as the brains 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. Make the choice to join us today. We need a creative individual who will help transfer GPU gaming and compute products from design engineering to mass production. You will be exposed to various aspects of building and testing NVIDIA products, from GPUs to assembled boards. In addition, your responsibilities will be to increase yields, test coverage and capacity, and reduce production costs. If you are passionate about building the highest quality server products that will change the world, then we really want to hear from you. What you'll be doing: - As part of Operations Engineering team that plays a key role in developing new GPU products, you will architect, design, and implement efficient manufacturing test processes for our state of the art GPU chips - Identify and implement test processes to improve manufacturing efficiency for our latest GPU architectures, built in leading-edge process technology - Analyze product yield limiters and drive resolution of failures on Automatic Test Equipment (ATE) while leading multi-functional efforts with design, foundry, quality, test to root-cause problems and implement improvements - Define product test requirements and drive NPI bring up, validation, and characterization for smooth production ramp at worldwide manufacturing sites as you continuously find opportunities for potential process improvements and collaborate with multi-functional teams to implement - Influence and optimize the accurate placement of test coverage across our test and supply chain to reduce cost and production waste. Lead detailed data analysis methods to correlate customer failures with internal production data to help understand root cause, risk, and exposure