HPC Systems Engineer

The HPC Systems Engineer role at AMD involves the design, development, and administration of High-Performance Computing (HPC) infrastructure, GPU clusters, and AI workload schedulers, with a focus on building scalable and performant services.

• Develop, implement, and maintain GPU-based clusters for optimal performance.
• Administer ML/AI platforms, managing deployments and resource allocation.
• Automate system provisioning and cluster management end to end.
• Collaborate with cross-functional teams to support AI infrastructure requirements.
• Monitor and evaluate the performance of AI systems and clusters.
• Use AI/ML to improve internal processes and tools for service delivery.
• Manage GPU clusters and optimize GPU-based services/tools/software.

• Experience in developing Python-based AI applications.
• Proficiency in HPC infrastructure engineering for AI/HPC domain.
• Familiarity with SLURM and Kubernetes management.
• Strong organizational and problem-solving skills.
• Excellent verbal and written communication skills.
• Experience with automation/monitoring tools such as Ansible, Terraform, etc.
• Demonstrated experience with AI workload schedulers and optimization techniques.