Data Center Engineer

AMD AMD · Semiconductors · Austin, TX · Engineering

This role focuses on the deployment, installation, validation, and technical support of AMD Datacenter graphics hardware and software subsystems, specifically for AI and Machine Learning projects. The engineer will work with customers utilizing AMD Instinct™ Accelerators, build datacenter GPU containers, and assist in resolving hardware/software issues throughout the product lifecycle. The role involves significant customer interaction and collaboration with program managers and development teams.

What you'd actually do

  1. Perform node and cluster-level software installation and validation for GPU/compute AI and Machine Learning projects.
  2. Resolve technical issues for customers utilizing AMD Instinct™ products.
  3. Provide technical guidance and support to customers for server graphics and compute projects related to AI and Machine Learning workloads.
  4. Build datacenter GPU dockers and containers for customer testing and deployment.
  5. Qualify and assess new software functionality to ensure compatibility with customer requirements.

Skills

Required

  • Datacenter deployment and troubleshooting skills in AI GPU hardware, software, and networking
  • Linux installation, setup, usage, and debugging
  • Datacenter GPU software stacks such as AMD ROCm™ or Nvidia CUDA
  • Validating multimode AI clusters using AMD tools (e.g., AGFHC, RCCL RDMA) or equivalents
  • AI/Machine Learning workloads, frameworks, and models
  • Strong debugging, problem-solving, and analytical skills
  • Excellent verbal and written communication skills

Nice to have

  • Datacenter customer support roles
  • Large-scale cluster deployment within hyperscale datacenters
  • Server architecture and functionality, including remote management, network topologies, and graphics software/hardware subsystems
  • Virtual environments (e.g., VMWare, Citrix, KVM, Microsoft) and virtual machine setup/management

What the JD emphasized

  • AI GPU hardware, software, and networking
  • AI and Machine Learning projects
  • AI and Machine Learning workloads

Other signals

  • AI/Machine Learning workloads
  • AMD Instinct™ Accelerators
  • Datacenter GPU software stacks