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NVIDIA’s invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — 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

We are now looking for a ASIC Verification Engineer - Coherent High Speed Interconnect! For two decades, we have pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has grown to encompass video games, movie production, product design, medical diagnosis, and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU

NVIDIA is looking for a Senior Design Engineer for our Coherent High Speed Interconnect team! The NVLINK-C2C enables the creation of a new class of integrated products with NVIDIA partners, built via chiplets, allowing NVIDIA GPUs, DPUs, and CPUs to be coherently interconnected with custom silicon. To learn more about NVIDIA's ultra-fast chip interconnect technology visit: https://www.nvidia.com/en-us/data-center/nvlink-c2c/ . This

We are now hiring for a Senior Mixed-signal Design Engineer! 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. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. 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. Doing what’s never been

NVIDIA’s invention of the GPU in 1999 fueled 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

技術於電腦視覺相關應用議題 深度學習、機器視覺演算法的開發及對應的加速軟硬體規劃 具有GPU運算(CUDA or OpenCL)撰寫經驗 深度學習開發與應用（物件偵測、行為偵測） Opencv、Dlib影像處理算法開發 熟悉C

object detection/classification/recognition/tracking, behavior analysis, …) 和聲學處理 (Abnormal noise detection/classification, …) 3. 針對於不同的嵌入式系統的AI加速晶片(非GPU)進行模型壓縮與優化,以符合速度與準確度要求 4. 協助設計與建立MLOps流程與Data pipeline的介接工

1. PC hardware architecture trend and technique development (e.g. CPU, GPU, RAM, controllers, and etc.) 2. Design and build up new generation AI/Telecom/HPC product SOP, including protocol, testing, instruction, and etc. 3. Review and write UEFI source code. 4. Optimize server function and algorithm.

Major jobs: PCIe Switch bring up, diagnostic and driver development, SW programming on: 1. Linux kernel 2. PCIe GPU, NIC, NVMe driver 3. Diag functions development