Respond to, diagnose, and resolve HPC-related incidents to ensure system stability and minimize downtime.
Process and fulfill service requests related to HPC resources, tooling, and services.
Investigate and resolve complex technical issues across HPC clusters, applications, networking, and performance workflows.
Develop, execute, and document test plans to validate system reliability, scalability, and performance.
Create and maintain detailed documentation on system architecture, configurations, workflows, and optimizations.
Manage, monitor, and optimize HPC clusters, job scheduling systems, and related infrastructure.
Analyze performance bottlenecks and apply optimization techniques across compute, memory, and networking layers.
Support software development, integration, and deployment workflows within HPC environments.

Minimum 3 years of experience in software development and/or systems engineering with a strong focus on HPC environments.
Expertise in Linux operating systems, specifically Red Hat Enterprise Linux (RHEL).
Strong programming/scripting skills: C, C++, Python, Bash, Ansible
Hands-on experience with parallel computing frameworks: MPI, OpenMP, CUDA
Solid knowledge of computer architecture, performance tuning, and system optimization.
Experience managing HPC clusters, including job schedulers (e.g., Slurm, PBS, LSF).
Strong networking knowledge, particularly InfiniBand.
Understanding of ITIL best practices, especially: Incident Management, Service Management, Process Optimization

Systems Engineer – HPC

Key skills