NVIDIA, a pioneer in GPU technology and accelerated computing, is seeking a Senior System Software Engineer to join 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 a unique opportunity to work at the intersection of AI and high-performance networking, supporting large-scale GPU clusters.
The role involves deep engagement with partners and customers, conducting performance analysis, and developing tools for cutting-edge GPU clusters. You'll be working with various networking technologies including Infiniband, RoCE, and Ethernet, while supporting applications across major cloud platforms like Azure, AWS, and GCP.
This is an ideal position for someone with strong technical expertise in parallel programming, high-performance computing, and networking. The role requires excellent C/C++ programming skills, Linux expertise, and experience with container technologies. Knowledge of CUDA programming and deep learning frameworks is a plus.
Working at NVIDIA means being part of a company that's leading groundbreaking developments in Artificial Intelligence, High Performance Computing, and Visualization. You'll have the opportunity to contribute to technologies that power everything from artificial intelligence to autonomous cars. The company offers competitive compensation including a base salary range of $148,000 - $287,500, plus equity and comprehensive benefits.
The position offers flexibility with remote work options and locations in major tech hubs. You'll be part of a diverse, inclusive work environment where innovation and technical excellence are highly valued. This role is perfect for someone who wants to make an impact in the AI and HPC space while working with cutting-edge technology and industry-leading partners.