Data Center Engineer

Responsibilities

• Perform node and cluster-level software installation and validation for GPU/compute AI and Machine Learning projects
• Resolve technical issues for customers utilizing AMD Instinct™ products
• Provide technical guidance and support to customers for server graphics and compute projects related to AI and Machine Learning workloads
• Build datacenter GPU dockers and containers for customer testing and deployment
• Qualify and assess new software functionality to ensure compatibility with customer requirements
• Assist development teams in identifying and resolving hardware/software technical issues throughout the product lifecycle
• Collaborate with program managers to maintain project schedules and ensure deliverables are met

Requirements

• Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Computer Science, or an equivalent field
• Proven datacenter deployment and troubleshooting skills in AI GPU hardware and software
• Experience with Linux installation, setup, and debugging
• Knowledge of virtual environments such as VMWare, KVM, or Citrix
• Familiarity with datacenter GPU software stacks like AMD ROCm or Nvidia CUDA
• Ability to travel up to 75%

Preferred Qualifications

• Experience in datacenter customer support roles or large-scale cluster deployment within hyperscale datacenters
• Understanding of server architecture, remote management, and network topologies
• Experience with AI/Machine Learning workloads, frameworks, and models
• Proficiency in validating multimode AI clusters using AMD tools (e.g., AGFHC, RCCL RDMA)
• Technical certifications in relevant software systems

About the Company

AMD is on a mission to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we push the limits of innovation to solve the world’s most important challenges.