AI Systems Engineer - HPC

Position Overview

At AMD, we care deeply about transforming lives with our technology. Our mission is to build great products that accelerate next-generation computing experiences across data centers, artificial intelligence, PCs, gaming, and embedded systems. We push the limits of innovation to solve the world’s most important challenges while embracing a culture of execution excellence, directness, humility, collaboration, and inclusivity.

As an AI Systems Engineer within the AMD IT Compute Platforms Engineering team, you will design, develop, and administer High-Performance Computing (HPC) infrastructure, GPU clusters, and AI workload schedulers. You are passionate about large-scale distributed computing and continuously seek to build scalable, high-performance HPC/AI/Data services by leveraging AMD hardware, software, and innovative processes.

Key Responsibilities

• Develop, implement, and maintain GPU-based clusters to ensure optimal performance
• Administer ML/AI platforms – including 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 and support AI-related projects
• Monitor and evaluate the performance of AI systems and clusters to ensure adherence to industry best practices and company standards
• Utilize AI/ML to continuously improve internal processes and tools for end-to-end service delivery

Preferred Qualifications

• Experience in developing Python-based AI applications and user interfaces
• Expertise in HPC infrastructure engineering for AI/HPC workloads
• Proficiency with SLURM and Kubernetes management
• Experience managing GPU clusters to optimize GPU-based services, tools, and software
• Background in creating web services with an HPC backend (such as AI)
• Familiarity with RoCEv2, K8s, KVM, Ubuntu, Python, Shell, GPU drivers, and 400G networking for cluster interconnects
• Demonstrated experience with AI workload schedulers and allocation optimization
• Experience with automation and monitoring tools such as Ansible, Saltstack, Terraform, Prometheus, and Grafana
• Strong organizational, problem-solving, and troubleshooting skills, coupled with excellent verbal and written communication abilities

Benefits & Perks

• AMD benefits at a glance