Senior HPC DevOps Engineer

About the Role

NVIDIA is seeking a Senior HPC DevOps and Network Engineer to contribute to the development of future supercomputers and HPC clusters. This role is pivotal in driving advancements in artificial intelligence and GPU computing, focusing on large-scale system design and performance tuning for compute-intensive tasks. You will collaborate with researchers, developers, and customers, utilizing cutting-edge accelerated computing and Deep Learning platforms to enhance workflows and create innovative solutions. You will also work alongside HPC, OS, GPU compute, and systems specialists to architect and deploy high-performance platforms.

What You’ll Be Doing

• Design, implement, and maintain large-scale HPC/AI clusters with advanced monitoring, logging, and alerting systems.
• Utilize and develop Infrastructure as Code (IaC) tools for scalable and repeatable deployments.
• Develop and maintain CI/CD pipelines to automate and streamline deployment processes.
• Create automation scripts and tools for deployment, configuration management, and operational monitoring.
• Develop complex network automation solutions.
• Perform in-depth troubleshooting from bare metal to application levels, ensuring system reliability.
• Act as a technical expert, promoting and sharing best practices within internal teams.
• Support R&D activities, including proof of concepts (POCs) and proof of values (POVs) for future enhancements.

What We Need To See

• Bachelor's degree in Computer Science, Engineering, or a related field, with 5+ years of experience.
• Deep knowledge of HPC and AI technologies, including CPUs, GPUs, high-speed interconnects, and related software.
• Advanced proficiency in programming and scripting languages with a strong grasp of object-oriented programming.
• Familiarity with CI/CD tools such as Jenkins, and configuration management tools like Ansible, Puppet/Chef.
• Excellent knowledge of Windows and Linux (Redhat/CentOS, Ubuntu), networking, and OS-level security.
• Deep understanding of networking protocols like InfiniBand and Ethernet.
• Experience with workload schedulers (e.g., Slurm) and orchestration tools (e.g., Kubernetes).
• Background with storage solutions such as Lustre, GPFS, ZFS, and XFS.
• Expertise in virtual systems (VMware, Hyper-V, KVM, Citrix).
• Familiarity with major cloud platforms (AWS, Azure, Google Cloud).

Ways To Stand Out From The Crowd

• Proven networking experience or strong knowledge acquired through professional networking training.
• Architectural insight into CPU and/or GPU architecture.
• Container expertise, including Kubernetes and microservice technologies.
• Experience with GPU-specific hardware/software like DGX and CUDA.
• Background with RDMA fabrics (InfiniBand or RoCE).

Commitment to Diversity and Inclusion

NVIDIA is dedicated to fostering diversity and an inclusive environment. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability. We offer reasonable accommodations to ensure equal participation in our application and interview processes, and for all aspects of employment. Join NVIDIA and contribute to technology that's pushing boundaries and making a significant global impact. Key skills/competency Senior HPC DevOps Engineer, High-Performance Computing, AI Clusters, DevOps, Network Engineering, Infrastructure as Code, CI/CD, Automation, Scripting, Linux, GPU Computing, NVIDIA