NVIDIA is seeking an experienced Senior HPC DevOps Engineer to contribute to building next-generation supercomputers and HPC clusters. This role sits at the intersection of artificial intelligence and GPU computing, offering an opportunity to drive breakthrough advancements in technology. The position involves working with cutting-edge Accelerated computing and Deep Learning platforms, collaborating with scientific researchers and developers to optimize workflows and create innovative solutions.
As a Senior HPC DevOps Engineer, you'll be responsible for designing and maintaining large-scale HPC/AI clusters, implementing infrastructure as code, and developing automated deployment solutions. The role requires expertise in both hardware and software aspects of high-performance computing, from bare metal to application level troubleshooting. You'll work with state-of-the-art technologies including GPUs, high-speed interconnects, and various storage solutions.
The ideal candidate brings strong technical expertise in HPC environments, programming skills, and experience with modern DevOps tools and practices. This position offers the opportunity to work with NVIDIA's cutting-edge technology while contributing to solutions that are pushing the boundaries of what's possible in AI and accelerated computing. The role combines hands-on technical work with leadership responsibilities, including sharing best practices and driving innovation within the team.
Working at NVIDIA means joining a company at the forefront of technological innovation, with a strong commitment to diversity and inclusion. This role offers the chance to make a real impact in the world of high-performance computing while working with some of the industry's most advanced technologies and brightest minds.