HPC User Support Specialist at GRNET supporting researchers and engineers utilizing national HPC resources. Troubleshooting user requests and optimizing workflows in a high-performance computing environment.
Responsibilities
Respond to and resolve HPC user support tickets
Assist users with job submission, scheduling, and workflow optimization
Support users in accessing systems, storage, and HPC software environments
Investigate and troubleshoot issues related to jobs, applications, and resource usage
Help users improve the performance of their workloads, including profiling and basic code optimisation support
Run and analyse application benchmarks and scaling tests to understand performance bottlenecks
Contribute to onboarding, user guides, and technical documentation
Participate in user training activities (webinars, tutorials, hands‑on sessions)
Collaborate with system administrators to identify and resolve system-side issues impacting users
Provide feedback for improving HPC services and user experience
Requirements
Experience using Linux environments and command-line tools
Familiarity with HPC concepts such as modules, batch systems, job schedulers, and parallel computing
Exposure to HPC job schedulers (preferably Slurm)
Understanding of scientific computing workflows and common programming languages (e.g., Python, C/C++, Fortran, R)
Experience with HPC application execution or user support in a technical environment
Interest or experience in performance profiling (e.g., gprof, perf, Intel VTune, ARM MAP)
Ability to troubleshoot issues involving jobs, user environments, or software modules
Experience with ticketing or issue tracking tools (e.g., JIRA, Redmine, ServiceNow)
Good knowledge of Greek and English
Will be considered a plus
Hands-on experience running workloads on HPC systems
Familiarity with profiling and performance tuning tools
Experience with containers for HPC (e.g., Apptainer/Singularity)
Knowledge of parallel programming (MPI, OpenMP)
Exposure to scientific domains (e.g., computational physics, AI/ML, bioinformatics)
Experience preparing training material or teaching technical subjects
MSc or PhD in a STEM field
Benefits
Opportunities for international collaborations
Competitive remuneration package
Continuous professional development and training
Modern, friendly and innovative working environment
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