This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
AMD is looking for an outstanding technical contributor to help architect, validate & optimize performance of new features thru full chip simulation & emulation platforms for AMD-based next-generation servers . As a passionate and dedicated Server Systems Performance Architect in the Server Performance Group, you will identify new opportunities to optimize server silicon for throughput and latency by identifying opportunities across all parts of silicon micro architecture and design spanning CPU, Data Fabric, Memory subsystem and IO. You will validate and analyze performance of various design features in presilcon design env and correlate the profiling data with AMD performance model and eventually AMD silicon. You will quantify and isolate performance bottlenecks, and share the insights to help new drive features into the next generation of server CPUs. The ideal candidate is expected to be well informed on latest trends in server design and verification, have a well rounded understanding of performance requirements for server market and be able to quickly ascertain, in a data-driven manner, how next generation server CPUs and platforms should be engineered to support those needs
Job Responsibility
Team Leadership
Program Leadership
Performance Analysis & Correlation
Toolchain & Methodology
AI-Driven Infrastructure
Cross-Functional Collaboration
Stakeholder Management
Industry Awareness
Requirements
Should have executed Emulation based functional and performance verification for multimillion gate SoC designs
Should have strong exposure to RTL coding and SOC bringup debug
Exceptional foundation in systems architecture, cutting across CPU, memory, storage and I/O subsystems
Experience with hardware performance counter monitoring tools
Should have exposure to performance profiling tools, preferably x86 based (e.g. linux perf, Windows perfmon)
MS/PhD in Computer Engineering / relevant coursework / thesis
Excellent communication skills (verbal, written, and presentation)
12 years relevant industry experience
Nice to have
Deep knowledge of modern out-of-order CPU cores, memory subsystems, and performance modeling is a plus
Familiarity with performance benchmarks like SPEC CPU
Experience with ML/AI techniques/frameworks for performance triage, infrastructure automation and prediction is a plus
Exposure to high-performance computing (HPC), virtualization, or server-class CPUs
Background in hardware/software co-design and performance-aware compiler optimizations
Familiarity with pre-silicon and post-silicon debug methodologies