Senior AI-HPC Cluster Engineer

Job Description

Join NVIDIA's GPU AI/HPC Infrastructure team to provide leadership in the design and implementation of ground breaking GPU compute clusters for demanding deep learning and high performance computing workloads.

Requirements

• Bachelor’s degree in Computer Science, Electrical Engineering or related field or equivalent experience
• Minimum 5 years of experience designing and operating large scale compute infrastructure
• Proficient in administering Centos/RHEL and/or Ubuntu Linux distributions
• Solid understanding of cluster configuration managements tools such as Ansible, Puppet, Salt
• In-depth understanding of container technologies like Docker, Singularity, Podman, Shifter, Charliecloud
• Proficiency in Python programming and bash scripting
• Excellent problem-solving skills and ability to analyze complex systems
• Experience with AI/HPC workflows using MPI
• Passion for continual learning and staying ahead of emerging technologies in HPC and AI/ML infrastructure fields

Responsibilities

• Provide leadership and strategic guidance on the management of large-scale HPC systems
• Develop and improve ecosystem around GPU-accelerated computing
• Build and maintain AI and ML heterogeneous clusters on-premises and in the cloud
• Create and cultivate customer and cross-team relationships
• Support researchers in running workloads and performance analysis
• Conduct root cause analysis and suggest corrective action
• Proactively find and fix issues before they occur

Benefits

• Multiple relocation packages
• Two weeklong shutdowns (mid-summer and year-end) in the US (in addition to PTO)
• 8-week parental leave
• 9 Employee Resource Groups
• Annual bonus offering
• Flexible work arrangements
• Up to 6% 401K matching