Senior HPC Performance Engineer

NVIDIA, the pioneer of GPU technology and leader in accelerated computing, is seeking a Senior HPC Performance Engineer to join their GPU Communications Libraries and Networking team. This role focuses on delivering critical libraries like NCCL, NVSHMEM, and UCX for Deep Learning and HPC applications. The position involves working with cutting-edge technology in artificial intelligence and high-performance computing, where your work will directly impact application performance across massive GPU clusters.

The role requires expertise in performance engineering and HPC, with responsibilities including conducting detailed performance analysis on large-scale GPU clusters, optimizing communication between GPUs, and solving complex performance challenges. You'll work with state-of-the-art hardware including NVLink, PCIe, and high-speed networking technologies like Infiniband and Ethernet.

This is an exceptional opportunity for someone passionate about high-performance computing and system optimization. You'll be part of a dynamic team that's pushing the boundaries of what's possible in AI and HPC, working on technologies that power everything from scientific discoveries to autonomous vehicles. The position offers competitive compensation, including a base salary range of $148,000 to $287,500, plus equity and benefits.

NVIDIA's commitment to innovation and their position at the forefront of AI and HPC makes this an exciting opportunity for someone looking to make a significant impact in the field. The role combines technical depth with practical problem-solving, requiring both strong analytical skills and the ability to collaborate across teams and time zones.