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Principal AI Software & Systems Architect

AMD· Engineering
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Hybrid (Austin, TX), Hybrid (Boxborough, MA), Hybrid (Markham, Ontario, CA)$212kFull-timePosted 4mo ago

About the role

AMD is seeking a Principal AI Software & Systems Architect to drive adoption of AMD AI solutions in on-premise, enterprise environments. The role requires deep expertise in AI software stacks, inference runtimes, heterogeneous computing, and hardware-aware software architecture to analyze deployments, map workloads across CPUs/GPUs/NPUs, identify ecosystem gaps, and enable enterprise deployments on AMD platforms.

Responsibilities

  • Analyze customer and ISV AI deployments, including models, frameworks, runtimes, serving infrastructure, and dependencies.
  • Decompose workloads to identify portability, performance, scalability, and operational requirements.
  • Determine optimal deployment architecture across client, edge, workstation, and datacenter environments.
  • Evaluate workload partitioning across CPUs, GPUs, NPUs, and distributed compute resources for performance and TCO.
  • Define reference architectures for enterprise AI deployments and emerging AI workload patterns.
  • Identify software, runtime, framework, compiler, driver, and hardware dependencies that impact deployment on AMD platforms.
  • Define and drive the technical work required to enable workloads on AMD hardware and software stacks.
  • Partner with engineering teams to close ecosystem gaps and accelerate customer adoption.
  • Analyze workload performance and identify bottlenecks related to compute, memory, communication, storage, power, and utilization.
  • Establish performance targets, validation criteria, and benchmarking methodologies to support TCO discussions.
  • Serve as the technical lead for strategic customer and ISV engagements.
  • Conduct architecture reviews and technical assessments of AI deployments.
  • Guide customers and partners through workload migration, platform selection, enablement, and optimization activities.
  • Develop reusable deployment patterns, best practices, and technical guidance for multiple engagements.
  • Translate real-world workload requirements into software, platform, and hardware requirements.
  • Influence AMD roadmap priorities through direct engagement with customers, ISVs, and ecosystem partners.
  • Identify emerging AI deployment trends and opportunities across client, edge, workstation, and datacenter markets.
  • Help shape AMD's long-term AI platform strategy through workload-driven insights and technical leadership.

Qualifications

  • Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent

Skills

Required:AI workload architectureAI software stacksPerformance analysisPlatform enablementCustomer & ISV engagementRoadmap influence
Last updated Oct 22, 2026. Interested? Apply on the company site.
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