The NVIDIA GPU Architecture team is looking for architects to join our world class team. NVIDIA is a leader in the Gaming and AI Datacenter field, and we are constantly looking for ways to improve our GPU capabilities. In this position, you will be working with other world-class architects on modeling and validating chip architectures, microcontrollers. You will work with architecture and software teams to help define, design IP's (microcontrollers, register bus etc) for next generation GPU's. What you will be doing: Architectural design and functional modeling of components in the GPU with specific focus on control fabric, NOC’s, register buses. Knowledge of SOC security, and virtualization a definite plus. Familiarity with RISC-V based microcontrollers desired. Design expertise with multi dielet architectures with a focus on dynamic configuration, power, and performance. Work in a matrixed environment, across the different architecture, ASIC, DV (Design Verification), power and security teams to document, design, develop features to improve functionality and performance of the next generation GPU’s. Develop models (C++/SystemC), tests, test plans and testing infrastructure for new architectures and features. Develop and improve flows for turnkey delivery of GPU address maps and help building validation tools. What we need to see: Bachelor’s degree (or equivalent experience) in a relevant subject area (Computer Science, Electrical Engineering or Computer Engineering). 5+ years of meaningful work experience or master's with proven ability or PhD with 2+ years of experience. Strong programming ability: C++, C along with a good understanding of build systems (CMAKE, make), toolchains (GCC, MSVC) and libraries (STL, BOOST) for x86, ARM and RISC-V. Computer Architecture background with experience in modeling with SystemC & Transaction Level Modeling (TLM) preferred. Familiarity with Jenkins, Python, Perl. Excellent communication and interpersonal skills and ability to thrive in a distributed team. NVIDIA’s invention of the GPU 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” NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Do you love the challenge of crafting the highest-performance silicon GPUs and SoCs possible? If so, we want to hear from you! Come, join our GPU Architecture team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.
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