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Platform Performance Engineer

2 months ago

Austin Texas, United States Advanced Micro Devices, Inc Full time
About the Role

We are seeking a highly skilled Platform Performance Engineer to join our team at Advanced Micro Devices, Inc. As a key member of our server team, you will be responsible for analyzing and comparing AMD EPYC platforms across various competitive systems.

Key Responsibilities
  • Drive server competitive analysis to identify areas for performance improvement
  • Execute and analyze complex workloads to understand performance characteristics of AMD and non-AMD platforms
  • Create awareness of AMD's performance position relative to the competition
  • Present and communicate EPYC SoC platforms' performance position to technical and non-technical groups
  • Investigate performance opportunities for our server architecture, including memory hierarchy, storage systems, scheduling, and I/O devices
  • Collaborate on workload characterization, bottleneck analysis, low latency, throughput, IOPS, burst, and sustained performance/power capabilities of systems
  • Develop micro-benchmarks to understand performance characteristics of a SoC
  • Develop optimized benchmark binaries across competitive systems
  • Develop innovative tools for performance analysis and performance regressions
Requirements
  • BS or MS in Computer Architecture, Computer Science, Computer Engineering, or related field
  • 8+ years' experience in system architecture and performance analysis
  • Knowledge of the competitive landscape, feature specifications, and industry trends in the server and client domain
  • Familiarity with multiple Server vendors/SoC platforms (AMD, Intel, ARM, Ampere)
  • Deep understanding of computer architecture/microarchitecture, software, and hardware relevant to performance engineering
  • Experience with characterizing industry standard benchmarks such as SPEC CPU2017, SpecJBB, Stream, HPL, FIO, etc.
  • Experience in creating benchmarks or other performance test tools
  • Experience with computer workload analysis
  • Solid understanding of Linux performance analysis tools and methods
  • Experience in Linux kernel internals/system programming
  • Strong programming experience in C, C++, and scripting languages (Bash, Python)
  • Expertise working with large codes from source, with appropriately linked math libraries and flag optimization, working with different compilers, MPI libraries, and math libraries
  • Experience using distributed source control, e.g. Git
  • Experience with GPU as accelerator
  • Experience with hardware performance counter (PMU) and binary instrumentation tools
  • Previous work experience in IO subsystem Uarch, IO-interconnects, and IO subsystem performance analysis and optimization
  • Background or experience in server applications and system and software debug
  • Experience with the development and usage of computer system performance models