Investigating the latest and future NVIDIA GPU hardware architecture and programming models. Working on the frontier of AI by understanding advanced algorithms (like attention sinks and Mo. Es) and numerics (like block-scaled floating point) to identify new opportunities for optimization. Designing and implementing compiler technology using MLIR to optimize high-level kernel descriptions (written in Triton's Python DSL), with a focus on generating efficient, low-level GPU code. When vital, you'll also be able to use inline PTX to hand-tune critical code paths and extract peak performance from the hardware. Engaging in a dynamic, iterative process of optimization—sometimes starting with the kernel, sometimes with the compiler—to find the most efficient path to peak performance. Collaborating with teams across NVIDIA, including hardware architects and the CUDA compiler team, to influence future products and ensure we are always operating at maximum efficiency. What we need to see:Bachelor, Masters or PhD. degree or equivalent experience in Computer Science, Computer Engineering, Applied Math, or a related field . years of relevant industry experience in software development. Demonstrated strong C programming and software design skills, with an emphasis on performance analysis and debugging. Experienced in parallel programming, including CUDA/ Open. CL GPU programming or other parallel models such as Open. MP. Solid understanding of computer architecture and hands-on experience with assembly-level programming. Ways to stand out from the crowd:Experience in tuning BLAS or deep learning library kernels. Background in numerics and linear algebra. Experience with machine learning compilers like TVM or MLIR. Contributions to open-source projects, especially in the AI/ ML or compiler space. Familiarity with the latest research in AI algorithms and numerics as well as a strong track record of contributions to open-source projects, particularly in the AI/ ML, compiler, or high-performance computing domains. With competitive salaries and a generous benefits package, we are 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 and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.