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AMD Logo AMD · IT - Software Development

Product Application Engineer - Data Center Deployment

United States, Santa Clara 160960.00 - 241440.00 USD / Year · Job Posted April 05, 2026
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Job Description

This highly technical role supports large-scale datacenter graphics hardware and software subsystem deployment initiatives for cloud service provider and enterprise customers. You will work across complex virtualization, networking, datacenter infrastructure, AI/Machine Learning, and system-level program execution to ensure customers can successfully deploy solutions powered by high-performance accelerators. You will collaborate closely with customer engineering teams on system readiness, deployment, performance validation, and issue resolution. This role is ideal for someone who enjoys hands-on datacenter networking work, solving complex distributed computing problems, and influencing customer success for next-generation GPU and CPU technologies. The environment is fast-paced, highly cross-functional, and technical in nature.

Job Responsibility

  • Design, optimize, and troubleshoot virtualization solutions for high-performance datacenter GPU, CPU, and related platforms
  • Support customers, partners, and internal teams on virtualization topics related to AI and Machine Learning workloads
  • Build and configure datacenter networking environments for customer testing, validation, and deployment
  • Qualify and assess new virtualization capabilities to ensure alignment with customer and product requirements
  • Provide mentorship and technical guidance to junior engineering staff
  • Partner with development teams to identify and resolve hardware/software issues from early bring-up through end-of-life
  • Document and escalate technical issues following established procedures
  • Collaborate with program managers to maintain schedules, track action items, and ensure deliverables are met
  • Provide clear project status updates to internal leadership and customer stakeholders
  • Build a deep understanding of customer goals to ensure impactful technical guidance and solution delivery
  • Translate customer feedback into actionable recommendations for internal engineering teams
  • Travel up to 20% to support customer deployments, onsite debugging, technical reviews, and collaborative engineering sessions

Requirements

  • Datacenter customer support in virtualization-focused environments
  • Virtual environments (VMWare, Citrix, KVM, Microsoft, and others) and virtual machine configuration/management
  • Data storage, protection, deduplication, and storage-related network optimization especially with Weka, DDN, and VAST products
  • Working in or closely with a deployment services organization utilizing tools like Salesforce, JIRA and Confluence
  • Linux installation, configuration, debugging, and performance tuning
  • Debugging, root-cause analysis, and system-level problem solving
  • Site reliability engineering concepts and best practices
  • Server architecture, remote management, network topologies, and compute subsystem operations
  • Datacenter GPU software stacks such as ROCm™ or CUDA
  • High-performance networks for HPC and AI (RDMA/RoCE, InfiniBand)
  • AI/ML workloads, frameworks, and models
  • Strong verbal and written communication skills to convey highly technical concepts
  • Ability to operate independently, manage multiple priorities, and maintain strong organizational discipline
  • Bachelor’s or Master’s degree in Engineering, Computer Science, or related field preferred
  • Certifications preferred, including Kubernetes, VMware, Citrix, Red Hat, KVM, and Hyper-V and others related to Networking, Virtualization, or Data Storage
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