Systems Engineer for HPC

About the workplace

LUNARC is the centre for high-performance computing (HPC), visualisation, and storage at Lund University. We provide advanced computing and data services to researchers across all faculties of the university, including science, engineering, medicine, economics, humanities and social sciences. Across these fields, demand for GPU resources for AI has increased significantly in recent years.

We operate modern HPC clusters, visualisation resources and advanced storage systems, and continuously develop new services for interactive and data-driven research. Our environment includes both traditional HPC infrastructure and modern platforms for container-based and cloud-adjacent workflows.

We work closely with research environments such as MAX IV as well as national and international research infrastructures. LUNARC is also part of the national infrastructure NAISS (National Academic Infrastructure for Supercomputing in Sweden).

We offer

As a Swedish government agency, Lund University offers attractive employment terms, generous vacation benefits, favourable pension schemes, flexible working hours, and the option to work partly remotely.

At LUNARC, you will join a dedicated team with strong technical expertise and real opportunities to influence technology choices and ways of working. We place great importance on professional development and offer both internal and external training.

You will work alongside experienced colleagues and have opportunities to grow within HPC and advanced research infrastructures.

Duties and responsibilities

We are now looking for a systems engineer who wants to help develop the next generation of high-performance research infrastructure for computing, visualisation, and storage.

This role suits someone with a strong background in Linux and infrastructure who enjoys working at the intersection of HPC, DevOps, and modern platform operations. You will combine operational work with development-focused tasks in close collaboration with the rest of the team. The role also involves working closely with researchers to help them make the best use of LUNARC’s resources.

The tasks range from operational support to the development of new services to close collaboration with researchers and users. The role includes both daily infrastructure operations and long-term development of LUNARC’s technical platforms. Examples of tasks include:

• Operation and development of Linux-based HPC and research infrastructure
• Automation, configuration management and development of internal services
• Operation and further development of container and virtualisation platforms
• Monitoring, troubleshooting and performance optimisation
• Management of storage and network infrastructure
• User support for researchers and research projects
• Installation and optimisation of scientific software
• Participation in development projects related to new services and infrastructures
• Technology scouting and evaluation of new technologies within HPC, AI and cloud infrastructure

The work is carried out in close collaboration with researchers, developers and other infrastructure experts.

Qualifications

You do not need extensive prior experience with HPC, but you must have experience with Linux-based infrastructures, automation or modern platform operations, as well as a willingness to develop within HPC and research infrastructure.

Requirements

• Experience with Linux system administration
• Experience operating Linux-based infrastructures, preferably HPC environments or other large distributed systems
• Good knowledge of network architecture
• Good knowledge of scripting and automation (e.g. Python or Bash)
• Strong interest in developing further within the field
• Excellent collaboration and communication skills
• Ability to work independently and in a structured manner
• Excellent English skills, both written and spoken

Meritorious experience

• HPC environments and workload managers such as SLURM
• Container technologies and orchestration platforms (Docker, Kubernetes, Apptainer/Singularity)
• DevOps practices, Infrastructure as Code and configuration management (e.g. Ansible)
• Experience working in agile development or operations environments
• Cloud infrastructure and virtualisation
• Experience with Git, code review processes and CI/CD pipelines
• Experience with collaboration and development platforms such as GitLab and CI/CD workflows
• Distributed storage systems and parallel file systems such as IBM Storage Scale (GPFS)
• High-performance networking technologies, for example, InfiniBand
• GPU-based systems and AI/ML infrastructure
• Installation and optimisation of scientific software

Experience working within research infrastructure or academic environments. Consideration will also be given to how the applicant’s experience and expertise complement and strengthen the organisation's existing competence profile.

Additional information

The position is permanent and full-time (100%). A probationary period may apply.

Start date according to the agreement.

The position title will be Systems Engineer.