HPC Systems Engineer - AI Workloads

THE ROLE: We are seeking an AI Systems Engineer to join our AMD IT compute platforms engineering team. The AI Systems Engineer is responsible for the design, development, and administration of High-Performance Computing (HPC) infrastructure, GPU clusters, and AI workload schedulers. THE PERSON: You have a passion for learning. You are passionate about the field of large-scale distributed computing in AI and HPC workloads. You take responsibility for end-to-end outcomes of your efforts. You want to build scalable and highly performant HPC/AI/Data services with AMD hardware, software, people and processes. You have a curiosity to learn and improve scalable HPC systems. You have significant experience in working across a globally distributed organization. KEY RESPONSIBILITIES:

• Develop, implement, and maintain GPU-based clusters, ensuring optimal performance
• Administer ML/AI platforms – Distributed ML services, LLMs and AI inferencing, by managing deployments, resource allocation, monitoring, and security.
• Automate system provisioning and Cluster management end to end
• Collaborate with cross-functional teams to address AI infrastructure requirements, support AI-related projects, and provide technical expertise.
• Monitor and evaluate the performance of AI systems and clusters, ensuring that they adhere to industry best practices and meet company standards.
• Use AI/ML to continuously improve internal processes and tools that are used in end-to-end delivery of your services in this team

PREFERRED EXPERIENCE:

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