AI Systems Engineer - HPC

Advance Your Career. Advance The World.At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we're looking for talent who feel the same: people who want to leave the planet better than they found it, those who don't shy away from humanity's challenges but are determined to help solve them.AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you're designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger — technology that moves the world forward.The RoleWe 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 PersonYou 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 ResponsibilitiesDevelop, implement, and maintain GPU-based clusters, ensuring optimal performanceAdminister 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 endCollaborate 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 teamPreferred ExperienceExperience in developing Python based AI apps and UIHPC infrastructure engineering for AI/HPC domainSLURM and Kubernetes managementManaging GPU clusters optimizing GPU-based services/tools/softwareExperience in creating web services with HPC backend (like AI)Proficiency in RoCEv2, K8s, KVM, Ubuntu, Python, Shell, GPU drivers, and Cluster interconnect with 400G networking.Demonstrated experience with AI workload schedulers and allocation optimization.Automation/monitoring tool - Ansible / Saltstack, Terraform, Prometheus, GrafanaStrong organizational, problem-solving, and troubleshooting skills, with the ability to manage multiple projects simultaneously.Excellent verbal and written communication skills, with the ability to collaborate effectively with team members and stakeholders at all levels of the organization.Education: Bachelor's or master's degree in computer science or computer engineering preferred.Location: San Jose, CAThis role is not eligible for visa sponsorship.