We are now looking for a Senior GPU Architect, Profiling System! 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 workhorse that powers intelligent applications in a multitude of domains and computing environments. At NVIDIA, performance is at the core of everything we do. We pride ourselves on not only building the world's fastest processors, but also on providing a full ecosystem that empowers engineers and developers to realize that performance in practice.

NVIDIA's GPU Architecture Group is looking for architects to contribute to the design of our proprietary profiler subsystem, the apparatus embedded in every GPU that enables our profiling and monitoring tools to capture data and provide feedback for performance optimization. As a member of our team, you will need to combine skills in hardware modeling and verification with a deep understanding of GPU architecture, operating systems, and application performance analysis to innovate new methods of hardware profiling that yield more meaningful and accessible performance insights. You will have a tangible impact at a fast-paced company that is spearheading the next wave in computing technology. Join our technically diverse team of GPU architects, software engineers and infrastructure experts to push the boundaries of computing performance!

• Architect and plan features in concert with software, hardware, and verification teams working across the globe to implement the next generation GPU profiling features.
• Build functional and performance models to refine and verify hardware designs.
• Create test plans to validate the features you design and contribute to their implementation.
• Constantly develop your skills for practical innovation by improving your understanding of the application analysis process, the GPU architecture, and the profiling software stack.

• Masters, or PhD in relevant field (Eg: Computer Science, Computer Engineering or Electrical Engineering) or equivalent experience.
• 3+ years of relevant computer architecture, ASIC design, and/or software development experience.
• Strong programming skills in C++ (or similar) and Python (or similar).
• Solid foundation in computer architecture and hardware performance analysis.
• Experience with performance modeling and hardware simulation, ideally using SystemC.
• Strong communication and interpersonal skills including the ability to work with a distributed interdisciplinary team.

• Expertise in developing and optimizing parallel algorithms, particularly using GPUs.
• Extensive experience as a user or developer of CPU or GPU profiling tools.
• Background with 3D graphics, deep learning, and/or high-performance computing applications
• Experience contributing to and debugging large codebases with many developers.