Senior HPC Cluster Engineer - AI, ML
Core
Design, build, and scale large-scale AI/HPC infrastructure to enable researchers and engineers to develop next-generation AI/ML systems.
Role type
Senior Infrastructure Engineer (HPC/AI)
Builds
Production AI/HPC clusters, distributed compute environments, and automation solutions for GPU-accelerated workloads.
Domain
High-Performance Computing (HPC) and Artificial Intelligence (AI/ML)
Deliverable
infrastructure
Required skills
Linux administration (CentOS/RHEL, Ubuntu), cluster configuration management (Terraform, Ansible, Puppet), container technologies (Docker, Singularity, Podman), Python programming, bash scripting, job schedulers (Slurm, K8s, PBS, LSF), MPI workflows, performance tuning, root cause analysis, incident response.
Preferred skills
NVIDIA GPU/CUDA/NCCL expertise, InfiniBand/RDMA, distributed storage (Lustre, GPFS), AI/ML frameworks (PyTorch, TensorFlow).
Responsibilities
Provide leadership in systems administration and service delivery for the AI/HPC fleet; own day-to-day operations of production clusters ensuring system health and resource efficiency; develop scalable automation solutions for GPU-accelerated computing; build and maintain heterogeneous clusters on-premises and in the cloud; analyze and optimize cluster efficiency and GPU utilization; conduct root cause analysis and lead incident triage for reliability issues; support researchers with performance analysis and workload optimizations.
Seniority
Senior, hands-on IC
