It takes less than 10 minutes. * Basic knowledge and experience with high-performance computing systems and clusters (e.g., design, development, or operation as part of your studies, through internships, work-study positions, or project work) * Basic hands-on experience with application containers (e.g., Docker) and, ideally, initial exposure to orchestration and lifecycle management using Kubernetes or similar technologies, as well as a strong interest in infrastructure, administration, deployment, and automation * Basic knowledge of GPU frameworks, parallelization, and optimization, e.g., from project work or thesis projects; ideally, initial experience with distributed storage systems or high-performance networks * A structured, independent, and goal-oriented approach to work, the ability to grasp concepts quickly, a strong willingness to learn and work hard, and excellent teamwork skills
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