NVIDIA is seeking an experienced HPC DevOps Engineer to contribute to building next-generation supercomputers and HPC clusters. This role combines cutting-edge technology with practical implementation, focusing on large-scale system design and optimization for AI and GPU computing platforms. As a Senior HPC DevOps Engineer, you'll work at the intersection of hardware and software, collaborating with scientists, developers, and customers to enhance workflows and create innovative solutions. The position requires expertise in infrastructure management, automation, and system architecture, with opportunities to work with state-of-the-art accelerated computing and deep learning platforms. You'll be responsible for designing and maintaining large-scale HPC/AI clusters, implementing infrastructure as code, developing CI/CD pipelines, and ensuring robust monitoring systems. The role demands strong technical skills in areas like containerization, GPU computing, and high-performance networking, while also requiring leadership in best practices and innovation. At NVIDIA, you'll be part of a team pushing the boundaries of technology and making real-world impact, supported by a company culture that values diversity and inclusion.