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About
Architect and implement scalable HPC clusters optimized for AI and distributed training using container orchestration frameworks Design and integrate GPU-accelerated compute infrastructures and manage GPU and networking components Provide expert technical guidance on HPC architecture patterns and collaborate with hardware vendors and cloud providers
Required Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or a related field (Ph.D. a plus) 3+ years of hands-on experience architecting HPC or large-scale GPU clusters Expertise in Linux systems, Kubernetes, and CI/CD practices Strong understanding of HPC networking protocols and storage optimization for large datasets Familiarity with automation tools and strong scripting skills in Python or Bash
Languages
- English
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