NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by Linköping University and has 12 partner universities across Sweden.

Do you want to work at the forefront of Europe’s AI development and contribute to building the next generation of AI infrastructure?

We are now looking for up to 4 system developers who want to contribute to the adoption and application of advanced AI methods across a wide range of domains, including technology and tools, data, life science, materials science, autonomous systems, training, and other emerging application areas. These positions offer a unique opportunity to work with researchers, companies, public sector organisations, and AI specialists within EuroHPC’s AI Factory initiative, while making it easy for users to access data and AI solutions and feel confident that laws and regulations are being followed.

The position

We aim to provide services that are easy to use, secure, and reliable, enabling research that often involves sensitive data. We also strive to share what we do in order to help others do the same. We usually build using open standards and free and opensource solutions, but sometimes also use proprietary products that end users are more familiar with in order to facilitate research.

As a DevOps/Service Developer engineer, you will deploy and operate world leading services for AI and data, and help users and projects apply AI methods, tools, and workflows to real-world challenges. Depending on your background and interests, you may contribute within one or more application areas.

We welcome applicants with expertise in Linux DevOps and technologies such as OpenShift Kubernetes, infrastructure as code, continuous deployment and integration (CI/CD), as well as experience with agile ways of working and with developing and operating services for sensitive data, especially in highly regulated areas such as finance or health. You are not expected to cover all areas, and we encourage specialists with deep expertise in their field to apply.

The role combines hands-on technical work, user support, collaboration with domain experts, and participation in the development of AI services and best practices within Sweden AI Factory and the broader European AI ecosystem.

Responsibilities

We are a small team, and everyone is expected to contribute where needed according to their abilities. It is quite possible that you may get to “own” an area and become the primary decision-maker/person responsible for it, but you must also be able to document and explain your work to your colleagues. We work according to a standard development cycle, and code review is an important part of the work.

We work extensively with scripting and code-based infrastructure, and you must be able to think like a programmer and take factors such as algorithmic complexity into account. It is also common to need to dig into the source code of various tools to figure out what is going wrong, so being able to read and understand code is important. When we need to build services, we choose modern, maintainable languages that help us avoid mistakes. We do not primarily develop new software; rather, we prefer to glue existing components together as far as possible. As part of the recruitment process, you will be asked to demonstrate your ability in practice. You should also be prepared to discuss code in some form during a possible interview.

Some of the technologies we work with include virtualisation, containerisation and orchestration, block, object and file storage, relays, configuration management, scripting, continuous integration, and infrastructure as code.

We do not expect you to have worked with all of these, but you should have a solid foundation in Unix/Linux and some knowledge of different forms of networking and security:

Service development

• Collaborate with NAISS’s supercomputer operations.
• Help identify appropriate methods, workflows, and technologies for specific use cases.
• Develop, deploy, and maintain secure services for sensitive data.
• Continuously ensure that deployed solutions maintain an adequate level of security.

Project and user collaboration

• Work directly with users to understand their challenges and help them achieve results.
• Provide guidance on data preparation, model development, evaluation, and deployment.
• Contribute to pilot projects, demonstrations, and proof-of-concept activities.

Knowledge sharing and community building

• Develop documentation, tutorials, training materials, and examples.
• Participate in workshops, training initiatives, and communication activities.
• Contribute to building a strong national and European AI community.

Collaboration and innovation

• Collaborate with experts from academia, industry, and the public sector.
• Help identify new opportunities for AI use and innovation.
• Contribute to the continuous development of services and support offering at Sweden AI Factory.

The person we need 

We are looking for someone who has:

• A master’s degree in AI, computer science, data science, engineering, or a related field.
• Demonstrable practical experience of service development, Linux DevOps, and developing and operating services for sensitive data, for example in highly regulated areas such as finance or health.
• The ability to apply technical knowledge to real-world problems.
• Experience from research, industry, public-sector operations, or innovation projects.
• The ability to work in interdisciplinary and collaborative environments.
• The ability to write and maintain system documentation.
• Good communication skills in English and the ability to collaborate with different target groups.

It is meritorious if you have any of the following:

• Experience with FOSS, technologies such as Linux, OpenShift Kubernetes, infrastructure as code, continuous deployment and integration (CI/CD), and experience with agile ways of working.
• Experience with HPC, cloud-based environments, data platforms, or scientific computing environments.
• Experience in one or more relevant areas such as life sciences, materials science, autonomous systems, AI in the public sector, or industrial AI.
• Experience developing training materials, providing user support, or working in collaborative projects.
• Experience with European research infrastructures, EuroHPC, or international collaborations.
• An interest in AI technologies and their practical application.
• Good knowledge of Swedish.

The workplace

The position is located at Sweden AI Factory which is part of a European initiative to strengthen the development of trustworthy and competitive AI in research, industry, and the public sector. Through advanced supercomputing infrastructure, expert support, and international collaboration, we enable the development of AI solutions across research, industry, and public administration. The activities are carried out in close collaboration between Linköping University, NAISS, and RISE.

Please find more information about NAISS

The employment

Fixed-term employment for 1 year, full-time, 100%.

Starting date as soon as possible or by agreement.

The employment entails 4 positions as an Application expert. 

This position may come to be a security classified position. If so, security screening including a records check will be carried out before any decision on employment is made.

Salary and employment benefits

Linköping University is a Swedish public employer and offers individual salary setting, as well as opportunities to combine parenthood and an active lifestyle with employment.

NAISS offers a possibility of remote work up to 40% of the working time.

More information about employee benefits is available here.

Union representatives

Information about union representatives, see Help for applicants.

Application procedure

Apply for the position by clicking the “Apply” button below. Your application must reach Linköping University no later than 2026-09-21.

Applications and documents received after the date above will not be considered.