AI/HPC Computing Performance Engineer

vor 4 Wochen


Genf, Genf, Schweiz CERN Vollzeit
Job Role: Storage Performance Optimization Specialist

Your responsibilities

We are seeking a skilled and motivated Computing Engineer to work on storage performance optimization for Artificial Intelligence and Machine Learning. This role involves architecting and fine-tuning high-performance storage solutions to meet the demanding needs of AI/ML workloads, ensuring efficient data flow between large-scale distributed storage systems and computing farms with CPUs and GPUs.

Your Key Responsibilities:

  • Investigate storage requirements for AI/ML applications and identify bottlenecks when accessing distributed storage systems.
  • Design efficient access to storage resources, considering volume, performance, and cost.
  • Measure and benchmark achievable performance on existing large-scale storage clusters.
  • Configure, tune, and optimize storage access efficiency.

Additionally, as a team member:

  • You will be responsible for operating clusters totaling ~100 PB of raw capacity over 20+ production instances and 2 data centers.
  • Evolving the Ceph storage offer following users' needs, technology evolution, and capacity requirements.
  • Maintaining service documentation, procedures, and reports.
  • Providing support to end-users and guiding them to make the best possible use of Ceph storage.

Your Profile

Required Skills:

  • Linux system administration, in particular, tracing and debugging tools (e.g., GDB, eBPF, DTrace).
  • C++ software design and development, or strong interest to acquire relevant competencies. Scripting languages: Python, shell scripting.
  • Testing and debugging of distributed applications (storage systems being a plus).
  • Strong motivation to acquire skills on the job to progress on tasks and address problems.

Desirable Skills:

  • Genuine curiosity about modern, software-defined storage and computing technologies.
  • Familiarity with AI/ML workflows and storage requirements.
  • Practical experience in performance measurement and benchmarking.
  • Knowledge of mainstream monitoring technologies (Prometheus, Grafana).

Language Requirements:

  • Fluent in English.

Eligibility Criteria:

  • You are a national of a CERN Member or Associate Member State.
  • By the application deadline, you have a maximum of two years of professional experience since graduation in Computing or Physical Sciences (or a related field) and your highest educational qualification is either a Bachelor's or Master's degree.
  • You have never had a CERN fellow or graduate contract before.
  • Applicants without University degree are not eligible.
  • Applicants with a PhD are not eligible.


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