Hpc Ai Benchmark Specialist

Eviden

Bezons, France
**
Ai benchmark analysis and execution
Machine/deep learning fundamentals
Pytorch and tensorflow
** Eviden is seeking an HPC AI Benchmark Specialist to join their Applications and Performance team, focusing on benchmarking AI applications and ensuring performance on supercomputers. The role requires expertise in machine/deep learning, distributed training strategies, and familiarity with containerization and job scheduling environments. **

Job Summary

  • You will work within the Applications and Performance team whose main mission is to respond to HPC & AI calls for tenders.
  • The purpose of the benchmarking activity is to characterize the application on current system to project on target systems.
  • The position we are offering you is located in an environment working at the highest technological level, in direct contact with the various entities of the division, in relation with our partners (AMD, Intel, NVIDIA, ...) and in collaboration with our customers.

Matching Summary

Match Score: 75

** Eviden is seeking an HPC AI Benchmark Specialist to join their Applications and Performance team, focusing on benchmarking AI applications and ensuring performance on supercomputers. The role requires expertise in machine/deep learning, distributed training strategies, and familiarity with containerization and job scheduling environments. **

Skills & Requirements

Must-have

  • AI benchmark analysis and execution
  • Machine/Deep Learning fundamentals
  • PyTorch and TensorFlow
  • Containerization (Docker, Singularity)
  • SLURM job scheduler

Nice-to-have

  • Strong resilience and curiosity
  • Ability to question things
  • Technical problem-solving skills
  • Organized and rigorous approach

Key Requirements

  • Relevant degree in higher education
  • Several years of experience in AI
  • Experience in training neural network architectures
  • Experience with distributed training strategies
  • Knowledge of GPU, Network, storage architectures

Work Rights

Not specified

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