AI Compute Infrastructure Engineer (GPU Clusters & HPC)

Bitdeer (NASDAQ: BTDR)

Tydal

Sur place

NOK 540 540 - 864 864

Plein temps

14 jours+

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Résumé du poste

Bitdeer (NASDAQ: BTDR) is looking for an AI Infrastructure Engineer in Tydal, Norway. This role involves architecting, deploying, and maintaining infrastructure for large-scale AI compute environments. Responsibilities include deploying GPU clusters, optimizing network performance, and automating infrastructure with IaC tools.

Ideal candidates will have a degree in Computer Science or Data Engineering, with strong skills in Linux administration, containerization, and experience in HPC or large-scale distributed environments. This position promotes equal employment opportunities.

Qualifications

  • Master’s degree preferred in a technical field.
  • Experience with orchestration platforms like Kubernetes or Slurm.
  • Familiarity with NVIDIA infrastructure and high-performance networking.

Responsabilités

  • Deploy and manage large-scale GPU clusters.
  • Optimize low-latency networking for distributed compute.
  • Monitor rack density across AI infrastructure.

Connaissances

Linux administration
Containerization
GPU infrastructure
Orchestration platforms (Kubernetes, Slurm)
High-performance networking (InfiniBand, RoCE v2)
AI-focused storage platforms (Lustre, BeeGFS, WekaIO)
Infrastructure as Code (Terraform, Ansible)

Formation

Degree in Computer Science, Data Engineering, or related field

Outils

Kubernetes
Slurm
NVIDIA infrastructure stack (CUDA, NCCL)
Terraform
Ansible

Description du poste

Bitdeer (NASDAQ: BTDR) is looking for an AI Infrastructure Engineer in Tydal, Norway. This role involves architecting, deploying, and maintaining infrastructure for large-scale AI compute environments. Responsibilities include deploying GPU clusters, optimizing network performance, and automating infrastructure with IaC tools.

Ideal candidates will have a degree in Computer Science or Data Engineering, with strong skills in Linux administration, containerization, and experience in HPC or large-scale distributed environments. This position promotes equal employment opportunities.

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