Director, Hpc & Sovereign AI Centers of Excellence

AMD AMD · Semiconductors · Munich, Germany · Engineering

Director to lead AMD's EMEA HPC and Sovereign AI Centers of Excellence, managing a team of computational scientists, AI specialists, and performance engineers. The role focuses on customer-facing technical leadership for the deployment, adoption, and optimization of AMD technologies in HPC and AI environments, including application enablement and performance tuning.

What you'd actually do

  1. Lead, mentor, and develop AMD’s EMEA HPC and Sovereign AI Centers of Excellence team.
  2. Manage a geographically distributed organization of computational scientists, AI specialists, and performance engineers.
  3. Serve as the senior AMD technical leader for HPC and Sovereign AI customer engagements across the region.
  4. Establish trusted relationships with customer executives, technical leadership teams, and key stakeholders.
  5. Provide oversight for customer programs, ensuring successful execution of technical objectives and customer commitments.

Skills

Required

  • Proven experience in HPC, AI/ML, scientific computing, and large-scale computing systems
  • Demonstrated success leading customer-facing engineering, performance engineering, or technical enablement organizations
  • Managing and developing geographically distributed teams of highly skilled technical professionals
  • Experience defining and executing organizational strategy
  • Driving operational excellence
  • Aligning technical teams with business objectives
  • Experience supporting AI infrastructure, model training, inference workloads, or AI platform deployment
  • Proven ability to build trusted relationships with senior customer stakeholders
  • Represent an organization in executive-level technical and business discussions
  • PhD, Master’s degree, or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, Computational Science, AI/ML, or a related technical discipline.

Nice to have

  • Familiarity with large-scale system procurements and proposal development

What the JD emphasized

  • customer-facing engineering
  • deployment, adoption, and optimization of AMD technologies
  • application enablement, performance optimization, and technical collaboration
  • AI infrastructure, model training, inference workloads, or AI platform deployment

Other signals

  • customer-facing engineering
  • deployment and optimization of AMD technologies
  • application enablement
  • performance optimization
  • AI infrastructure, model training, inference workloads, or AI platform deployment