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AMD System Design Interview: Complete Preparation Guide

Prepare for AMD's system design interview — learn about CPU/GPU architecture questions, evaluation criteria, and a weekly preparation plan.

22 minUpdated Apr 25, 2026
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Interview format

5 rounds total.

System Design / Architecture60 min

Design a compute platform, processor subsystem, or software stack for CPU/GPU workloads. Deep understanding of computer architecture and performance analysis is expected.

Coding45 min

Algorithm or systems programming problem — may involve bit manipulation, memory optimization, or performance-critical code.

Domain Technical Interview45 min

Deep dive into your area of expertise — CPU microarchitecture, GPU compute, embedded systems, or software toolchains.

Behavioral / Team Fit45 min

Discussion about teamwork, adaptability, and experience working on long-cycle hardware/software projects.

Commonly asked systems

Design a cache coherency protocol for a multi-chiplet CPUDesign a GPU compute scheduler for heterogeneous workloadsDesign a memory controller with bandwidth optimization for HPC workloadsDesign a power management system for a mobile APUDesign a driver stack for a new GPU architectureDesign a hardware-software co-design for AI inference accelerationDesign a chiplet interconnect fabric for scalable server processorsDesign a performance profiling and debugging framework

What they evaluate

Computer Architecture KnowledgeHigh

Do you understand CPU pipelines, cache hierarchies, memory subsystems, and instruction-level parallelism? This is fundamental at AMD.

Performance AnalysisHigh

Can you identify performance bottlenecks using roofline models, cache miss analysis, and microarchitectural simulation?

Hardware-Software InterfaceMedium-High

Do you understand how software exploits hardware features? ISA design, compiler optimizations, and driver development span this boundary.

Power-Performance TradeoffsMedium-High

Can you reason about power efficiency vs performance? AMD competes on performance-per-watt across all segments.

Scalable DesignMedium

Can your designs scale from embedded devices to server processors? AMD's chiplet strategy requires modular, scalable thinking.

Tips

  • ▸Study AMD's Zen architecture: chiplet design, Infinity Fabric, and how it differs from monolithic processor design
  • ▸Understand cache coherence protocols — MOESI/MESI and how they work across chiplets and sockets
  • ▸Be prepared to discuss the memory hierarchy in detail: L1/L2/L3 caches, NUMA, and HBM for GPUs
  • ▸Know the ROCm ecosystem — AMD's GPU compute stack is a key differentiator against NVIDIA's CUDA
  • ▸Practice analyzing workload characteristics: compute-bound vs memory-bound, and how to optimize each
  • ▸Understand chiplet interconnects and how AMD's Infinity Fabric enables scalable multi-die designs
  • ▸Be ready to discuss power management: DVFS, clock gating, power domains, and thermal throttling strategies
  • ▸AMD is gaining market share in data centers with EPYC — understand server workload requirements and how EPYC addresses them

Preparation roadmap

Week 1-2Foundations
  • ·Review computer architecture fundamentals: pipelining, caching, branch prediction, and out-of-order execution
  • ·Study AMD's Zen CPU architecture and RDNA GPU architecture at a high level
  • ·Understand memory subsystems: DDR5, HBM, cache hierarchies, and NUMA topologies
  • ·Read AMD whitepapers and hot chips presentations on recent architectures
Week 3-4Core Designs
  • ·Design a multi-chiplet processor with a coherent interconnect fabric
  • ·Design a GPU compute scheduler that handles graphics and compute workloads simultaneously
  • ·Design a memory controller optimized for mixed workload patterns
  • ·Practice performance estimation: IPC, memory bandwidth utilization, and power consumption
Week 5-6Advanced Topics
  • ·Study chiplet packaging: 2.5D/3D stacking, advanced packaging, and die-to-die protocols
  • ·Design a power management framework with dynamic voltage and frequency scaling
  • ·Deep dive into ROCm: HIP programming model, compiler toolchain, and GPU driver architecture
  • ·Understand AI accelerator design: matrix engines, sparsity support, and mixed-precision compute
Week 7-8Mock Interviews & Refinement
  • ·Complete 4+ mock interviews covering CPU/GPU architecture and systems design
  • ·Practice explaining complex hardware concepts with clear diagrams and analogies
  • ·Review AMD technical presentations from Hot Chips, ISSCC, and Analyst Day
  • ·Prepare behavioral stories about working on multi-year hardware or platform projects
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