Senior Compute Kernel Architect, GPU Power at NVIDIA

You are a senior hardware or software engineer with a PhD or MS in computer science or electrical engineering and at least five years of experience in GPU kernel development. You possess deep expertise in low-level CUDA programming and an understanding of how code interacts with power delivery networks. **What makes it worth a look...** NVIDIA is hiring for this full-time, on-site role in Santa Clara with an annual salary range of $184,000 to $356,500 depending on the level. It offers the rare chance to influence future silicon architecture by building stress workloads that push hardware power limits. **You might be a good fit if you...** * Have hands-on experience optimizing CUDA kernels at the assembly or PTX level. * Understand power delivery network design, including voltage droop and package inductance. * Use Nsight Compute or Nsight Systems for profiling GPU performance. * Write Python scripts to automate complex power characterization workflows.