Master information

Task description and requirements

Your tasks:
• Monitoring LSF, performance, and job operations
• Implementing best practices and common practices on LSF Explorer
• Installation, operation, customization, and maintenance of RTM
• Utilizing APIs (REST, Python API)
• Conducting training sessions on the latest 2-3 LSF versions focusing on GPU enhancements and reporting
• Configuring scheduling for GPU, memory limits, affinity strings, SLA, fairshare, and their interoperability
• Managing job dependency groups and profiling
• Implementing data-aware scheduling and best practices for data management
• Developing and training on interactive workload strategies
• Implementing and training on data management and resource connector in AWS
• Developing and presenting migration strategies from other schedulers (such as PBS and SLURM)

Your Qualifications:
• In-depth knowledge of IBM Spectrum LSF
• Experience in monitoring and performance optimization of LSF systems
• Knowledge in the installation, operation, and customization of RTM
• Familiarity with APIs (REST, Python API)
• Experience with GPU optimization in LSF
• Expertise in configuring scheduling for GPU, memory limits, SLA, fairshare, and their interoperability
• Knowledge of data management and data-aware scheduling
• Experience with AWS integration
• Skills in developing migration strategies from other schedulers
• Excellent communication skills in English and German
• Ability to conduct training sessions and provide effective instruction

Your benefits:
• Remote work possible
• Interesting assignments at renowned national and international companies

Project duration: 1 MM


Are you a freelancer? Then we look forward to receiving your application!

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