Senior HPC AI Cluster Engineer

NVIDIA is looking for an experienced HPC-AI Engineer to join the Networking Clusters Solutions Infrastructure team. The successful candidate will be a key player in designing and implementing large-scale compute runs, working with the latest Accelerated computing and Deep Learning software and hardware platforms.

Responsibilities:

• Design, implement, and maintain large-scale HPC/AI clusters with monitoring, logging, and alerting
• Manage Linux job/workload schedules and orchestration tools
• Develop and maintain continuous integration and delivery pipelines
• Develop tooling to automate deployment and management of large-scale infrastructure environments
• Deploy monitoring solutions for servers, network, and storage
• Perform troubleshooting from bare metal to application level
• Develop and document standard methodologies to share with internal teams
• Support Research & Development activities and engage in POCs/POVs for future improvements

Requirements:

• A degree in Computer Science, Engineering, or a related field and 8+ years of experience
• Knowledge of HPC and AI solution technologies
• Experience with job scheduling workloads and orchestration tools such as Slurm, K8s
• Excellent knowledge of Windows and Linux networking and internals
• Experience with multiple storage solutions such as Lustre, GPFS, Weka.io
• Python programming and bash scripting experience
• Comfortable with automation and configuration management tools such as Jenkins, Ansible, Puppet/chef
• Deep knowledge of Networking Protocols like InfiniBand, Ethernet
• Deep understanding and experience with virtual systems
• Familiarity with cloud computing platforms

Preferred Qualifications:

• Knowledge of CPU and/or GPU architecture
• Knowledge of Kubernetes, container-related microservice technologies
• Experience with GPU-focused hardware/software (DGX, Cuda)
• Experience with RDMA (InfiniBand or RoCE) fabrics