THE ROLE :
AMD is looking for an outstanding technical contributor to help analyze and optimize performance of EPYC based servers for cloud, enterprise and HPC and Machine Learning workloads.
THE PERSON :
Successful candidates in this role have broad interests in Computer Systems performance, with strong expertise in Computer Architecture, keen attention to detail, excellent collaboration and communication skills (written and spoken), ability to work independently and come up with creative solutions to challenging engineering problems.
KEY RESPONSIBILITIES :
Characterize the properties of Cloud, Enterprise, HPC / ML / AI workloads
Analyze performance profiling data, traces and simulation data to quantify and isolate performance bottlenecks on current generation hardware.
Capture traces, run simulations of future designs and highlight key performance sensitivities and bottlenecks to microarchitecture development teams
Work with relevant software teams to drive optimizations based on performance analysis into key server software components (linux, compiler, Java, KVM, etc).
Perform competitive analysis across AMD and other hardware platforms.
PREFERRED SKILLS AND EXPERIENCE :
Strong foundation in any two of CPU core, memory, storage and I / O subsystems
Power user of performance profiling and hardware performance counter tools
Familiarity with complex cloud or enterprise software such as database, data analytics, machine learning, and relevant benchmarks such as SPECCPU, SPECjbb15, etc.
Familiarity with operating systems concepts (e.g. scheduling, memory management, paging, interrupt handling, etc)
Good programming skills in any language (C / C++)
Data analysis skills (Excel or Python)
REQUIRED EXPERIENCE :
B.Tech + 4 years in Performance Engineering, or M.Tech + 2 years, or PhD + 0 years, in Computer Science / Engineering or related field of study