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IBM z Performance Analyst
India, Karnataka, Bengaluru
354262819

29.07.2024

Your Role and Responsibilities

As a Software Performance Analyst/Tester you will design and create benchmarks and stress workloads, execute performance measurements with those benchmarks and workloads, analyze the performance measurements, and guide Hardware, Operating System, and Software Development teams on performance improvements collaborating with a global IBM team.

Design and implement benchmarks and stress workloads for AIU IO Card and keep them current
Set up benchmarks and stress workloads and the underlying AIU IO Card configuration for different performances.
Automate performance measurements and data collection for benchmarks and stress workloads
Develop and enhance data collection and analysis tools
Execute performance benchmarks and stress workload
Analyze the performance measurements and collected data for performance issues and bottlenecks
Guide Development teams across the stack (IBM Z Hardware/IBM Research, IBM AIU application stack, Middleware/Applications) on the fixing of performance issues due to configurations.
USP : Working on Systems which consist of AIU IO cards which are developed for creating a platform for training and analysis of IBM Large Language Models for Generative AI.

Required Technical and Professional Expertise
As Individual Developer

Overall experience of 6-10 years in performance measurement, analysis and system testing skills
Bachelors degree in Computer science, Information Science.
Basic ML/AI model architecture, training, and inferencing knowledge
3 years experience with Pytorch
Source code repository systems (e.g. git), scripting language and test automation skills
Linux administration basic skills
Experience working with (docker/podman) containers
Programming languages: Python, C/C++, Bash
English (fluent) language skills

Keywords: System Testing AND Performance analysis/measurement AND PyTorch AND DOcker/Podman AND Python, c/c++, Bash AND Linux Skills
Preferred Technical and Professional Expertise
Master

Know-how in AI transformer model design or modification
Experience in TensorFlow and model inference serving (TF serving, Nvidia Triton, vLLM)
Experience with hardware design and debugging skills
Experience in performance profiling (Linux perf) and tracing
Linux administration advanced skills
AI accelerator hardware architecture knowledge (GPU, TPU, AMX)
Programming languages: Cuda, Java