HPC Systems Engineer - AI Workloads
Core
Design, develop, and administer High-Performance Computing (HPC) infrastructure, GPU clusters, and AI workload schedulers to support large-scale distributed computing.
Role type
Senior IC HPC Systems Engineer (AI)
Builds
Scalable and highly performant HPC/AI/Data services using AMD hardware, software, and processes.
Domain
High-Performance Computing (HPC) and Artificial Intelligence (AI)
Deliverable
production ML models
Required skills
GPU cluster management, AI workload scheduling, Kubernetes (K8s), SLURM, Python, Shell scripting, RoCEv2, 400G networking, Terraform, Ansible, Prometheus, Grafana
Preferred skills
Python-based AI app development, HPC infrastructure engineering, GPU driver optimization, web services with HPC backend, cluster interconnect management
Technologies
AMD hardware, SLURM, Kubernetes, Python, RoCEv2, Terraform, Ansible, Prometheus, Grafana, Ubuntu, KVM
Responsibilities
Develop, implement, and maintain GPU-based clusters for optimal performance; Administer ML/AI platforms including distributed ML services, LLMs, and AI inferencing; Automate system provisioning and cluster management; Monitor and evaluate AI system performance; Collaborate with cross-functional teams on AI infrastructure requirements; Use AI/ML to improve internal processes and tools.
Seniority
Senior, hands-on IC
