VP, Software Infrastructure & Forward-Deployed Engineering

AMD

Georgia

On-site

USD 180,000 - 260,000

Full time

14 days+
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Job summary

AMD is seeking a senior leader to own the software infrastructure and the Forward Deployed Engineering (FDE) function across the AI stack. You will partner with AMD's software teams and customers to accelerate delivery and adoption, shaping the path from deployment to scalable solutions.

You will translate field intelligence into prioritized engineering roadmaps, drive developer productivity, and establish repeatable patterns that reduce deployment costs while expanding our AI capabilities.

Qualifications

  • Years of technical leadership in high-stakes environments such as Cloud Infrastructure, AI Platform, or HPC.
  • Hybrid understanding of hardware and software stacks Engineers need to own.
  • Strong commercial awareness and ability to link tech outcomes to business impact.
  • Experience managing Sev0 incidents with clear executive communication.

Responsibilities

  • Own the software infrastructure and developer productivity layer for AMD's software org, including tooling, CI/CD, and workflows.
  • Lead the Forward Deployed Engineering (FDE) function that deploys AMD software at customer sites and feeds learnings back into roadmaps.
  • Translate field intelligence and customer challenges into prioritized engineering work and roadmaps.
  • Create scalable patterns, reference architectures, and tooling to reduce the cost of future deployments.

Skills

Technical leadership
Hardware/Software hybrid
Commercial acumen
Crisis management

Education

BS, MS or equivalent

Job description

AMD is seeking a senior leader to own the software infrastructure and the Forward Deployed Engineering (FDE) function across the AI stack. You will partner with AMD's software teams and customers to accelerate delivery and adoption, shaping the path from deployment to scalable solutions.

You will translate field intelligence into prioritized engineering roadmaps, drive developer productivity, and establish repeatable patterns that reduce deployment costs while expanding our AI capabilities.

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