Key skills
HPC systems managementAI/HPC job schedulersLinux administrationCluster configuration managementContainer technologiesPython programmingBash scriptingAI/HPC workflowsPerformance tuningNVIDIA GPUsCUDA ProgrammingMachine Learning conceptsDeep Learning algorithmsInfiniBand familiarityDistributed storage systemsDeep learning frameworksPythonBashAIMachine LearningMLDeep LearningPyTorchTensorFlowK8sDockerAnsiblePodmanLeadership
About this role
NVIDIA is a leading technology company known for its innovations in GPU technology and AI computing. The Senior AI and ML HPC Cluster Engineer will lead the design and implementation of GPU compute clusters, addressing challenges in compute, networking, and storage for high-performance 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
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
- 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
- Background with NVIDIA GPUs, CUDA Programming, NCCL and MLPerf benchmarking
- Experience with Machine Learning and Deep Learning concepts, algorithms and models
- Familiarity with InfiniBand with IPoIB and RDMA
- Understanding of fast, distributed storage systems like Lustre and GPFS for AI/HPC workloads
- Familiarity with deep learning frameworks like PyTorch and TensorFlow