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 done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Are you a hard-working GPU programmer? Do you want to help craft the architecture of future GP - Us? A key part of NVIDIA's strength is our sophisticated software platforms and simulation environments that enable our incredible pace of delivering new technology to market. We are looking for ground-breaking, hardworking, and creative people to join a dynamic software team with high production-quality standards. Our work includes developing chip simulations in SW, chip test authoring languages and tools, and driving performance improvement. NVIDIA is continuously pushing the state of the art in chip development tools and infrastructure to enable the next generation of chips. In this position, you will develop the core infrastructure for modeling, analyzing, and debugging the development of large-scale, general-purpose graphics and computing chips. This infrastructure enables our driver stack, applications, tests, and studies to run unchanged on all functional, diagnostic, and performance models, and on simulations, emulations, and silicon for all our GP - Us. What you'll be doing:As a member of the team, you will play a critical part in every stage of development of a GPU - Thrive at the interface between software drivers and the GPU simulation. You will become the specialist for running SW applications directly on simulated GP - Us in diverse environments. Capture instrumentation requirements from GPU architects who research next-gen improvements. You will coordinate with GPU architects to enable functional and performance testing for the next architecture. Work closely with SW teams to help them deliver production-ready drivers when silicon goes to market. In this role, you will improve the daily workflows of leading chip modelers and designers around the globe to help produce the next greatest generation of GP - Us. What we need to see:Bachelor's or Master's in Computer Science or Computer Engineering or equivalent experience 5 years of relevant software development work experience. You understand the software driver stack, either in compute (CUDA) or graphics (DX, OpenGL, or Vulkan)Ability to work across the GPU and driver stacks. Strong C programming capability are required. Knowledge of object-oriented design patterns are required. Excellent interpersonal skills. Flexibility/adaptability for working in a dynamic environment with different frameworks and requirements. Ways to stand out from the crowd:Experience with chip and/or system simulation. Strong Python scripting skills. Experience with farm compute tools/techniques like virtual machines, containers, distributed programming#LI-Hybrid.