NVIDIA, the pioneer in GPU technology and accelerated computing, is seeking a Senior System Software Engineer for their GPU Communications Libraries and Networking team. This role focuses on NCCL and NVSHMEM communication runtimes for Deep Learning and HPC applications. The position offers an exceptional opportunity to work with cutting-edge AI networking stack and large-scale GPU clusters.
The role involves close collaboration with partners and customers to optimize performance and resolve technical issues in NCCL implementations. You'll be conducting sophisticated performance analysis on GPU clusters, developing automation tools, and providing expert guidance on HPC methodologies. The position requires strong expertise in parallel programming, C/C++, and high-performance networking technologies like Infiniband/RoCE/Ethernet.
As a senior engineer, you'll work across multiple time zones with various teams, contributing to NVIDIA's groundbreaking developments in AI and High Performance Computing. The company offers competitive compensation including base salary range of $148,000 - $287,500 (depending on level), equity, and comprehensive benefits.
This role is perfect for someone passionate about high-performance computing, with strong technical skills and the ability to work effectively with partners and customers. You'll be at the forefront of AI and HPC technology, helping to shape the future of GPU communications and networking capabilities at NVIDIA.