NVIDIA is seeking a technical leader to design and implement groundbreaking GPU compute clusters for demanding deep learning, high performance computing, and computationally intensive workloads, and to identify architectural changes and new approaches for GPU Compute Clusters.
Requirements
- Experience with AI/HPC advanced job schedulers, such as Slurm, K8s, 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
Responsibilities
- 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
Other
- Bachelor’s degree in Computer Science, Electrical Engineering or related field or equivalent experience
- Minimum 8 years of experience designing and operating large scale compute infrastructure
- Passion for continual learning and staying ahead of emerging technologies and effective approaches in the HPC and AI/ML infrastructure fields
- Travel requirements not specified
- Visa requirements not specified
- Degree requirements: Bachelor’s degree in Computer Science, Electrical Engineering or related field or equivalent experience
