NVIDIA is seeking a Compute Kernel Performance Architect with a unique blend of skills: someone who can write, profile, and analyze CUDA kernels with a laser focus on power consumption and current draw — and who understands how those kernels interact with the GPU's Power Delivery Network (PDN) at a system level. This is not a typical performance role. You will be writing stress workloads that deliberately push GPU power to its limits, partnering with hardware architects to validate power integrity assumptions, and helping ensure that our chips survive the harshest real-world di/dt scenarios. This position is an opportunity to have real impact on the GPU power architecture of future NVIDIA products, working at the boundary of GPU architecture, software and silicon.


What You'll Be Doing:
+ Design and develop CUDA kernels purpose-built to enhance GPU power consumption — targeting worst-case current draw across compute, memory, and I/O subsystems
+ Collaborate with ...