Director – Hyperscale, Hpc & Sovereign AI Deployment and Fleet Operations

AMD AMD · Semiconductors · Santa Clara, CA · Engineering

Director role leading a team responsible for enabling successful deployment, adoption, and lifecycle support of AMD compute and AI solutions across Cloud, HPC, and Sovereign AI customers. Focuses on guiding customers through new product introductions, deployment readiness, production ramp, and long-term fleet sustainment.

What you'd actually do

  1. Lead and scale the Cloud, HPC & Sovereign AI Customer Engineering organization supporting strategic customer deployments and lifecycle management.
  2. Lead a team of Customer Program Managers responsible for customer engagement, deployment readiness, new product introduction (NPI) execution, production ramp, and fleet sustainment activities.
  3. Drive successful deployment, adoption, and operational readiness of AMD compute and AI solutions across Cloud, HPC, and Sovereign AI customers.
  4. Serve as the executive escalation point for strategic customer issues and drive resolution of complex deployment, platform, performance, and operational challenges.
  5. Partner closely with Customer Platform Engineering teams, including PAE, BAE, Security Engineering, and Debug Engineering, to ensure successful customer outcomes.

Skills

Required

  • Leadership of customer-facing technical teams
  • Managing complex customer engagements
  • Driving successful deployment and sustainment of infrastructure at scale
  • Engaging with customer executives, architects, operations teams, and engineering organizations
  • Driving alignment across organizations
  • Technical credibility
  • Customer advocacy skills
  • Leading through influence
  • Experience leading customer-facing engineering, technical program management, cloud infrastructure, AI infrastructure, HPC, datacenter operations, or related technical organizations.
  • Experience leading technical teams responsible for customer deployments, operational readiness, and lifecycle support of complex infrastructure platforms.
  • Experience supporting large-scale cloud, AI, HPC, or enterprise infrastructure deployments from new product introduction through fleet sustainment.
  • Strong understanding of datacenter infrastructure, compute platforms, AI systems, observability, telemetry, and operational readiness.
  • Experience managing customer escalations and driving resolution of complex technical and operational issues.
  • Experience working with hyperscalers, cloud providers, HPC customers, sovereign AI customers.
  • Proven ability to drive alignment across engineering, product, operations, and customer-facing organizations.
  • Strong communication and executive engagement skills.

Nice to have

  • Bachelor's or Master's degree in Engineering, Computer Science, or a related technical field.

What the JD emphasized

  • AI solutions
  • fleet sustainment
  • deployment
  • operational readiness
  • customer deployments
  • AI infrastructure