Provide leadership and strategic guidance on the management of large-scale HPC systems including the deployment of compute, networking, and storage.
Develop and improve our ecosystem around GPU-accelerated computing including developing scalable automation solutions
Build and maintain AI and ML heterogeneous clusters on-premises and in the cloud
Create and cultivate customer and cross-team relationships to reliably sustain the clusters and meet user evolving user needs
Support our researchers to run their workloads including performance analysis and optimizations
Conduct root cause analysis and suggest corrective action
Proactively find and fix issues before they occur

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
Experience with AI/HPC advanced job schedulers, such as Slurm, K8s, PBS, RTDA or LSF
Proficient in administering Centos/RHEL and/or Ubuntu Linux distributions
Solid understanding of cluster configuration managements tools such as Ansible, Puppet, Salt
In depth understating of container technologies like Docker, Singularity, Podman, Shifter, Charliecloud
Proficiency in Python programming and bash scripting
Applied experience with AI/HPC workflows that use MPI
Experience analyzing and tuning performance for a variety of AI/HPC workloads.
Passion for continual learning and staying ahead of emerging technologies and effective approaches in the HPC and AI/ML infrastructure fields.

Senior AI and ML HPC Cluster Engineer

Key skills