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.

We are looking for two AI Infrastructure Application Experts to join the SELLMA project

SELLMA (Swedish Large LLM Arena) is a national initiative with the goal of developing, training and making available high-quality open foundation models with hundreds of billions of parameters, adapted to Swedish linguistic characteristics, cultural context and regulatory requirements. The project is part of the Wallenberg AI, Autonomous Systems and Software Program (WASP) and is carried out within WARA AI-TRICS (WASP Research Arena for AI-driven Technologies for Resilient Infrastructure and Critical Systems).

The position is based at NAISS, Sweden’s national infrastructure for high-performance computing, AI and data, providing world-class compute and storage resources. SELLMA is conducted in close collaboration between universities, government agencies and industrial partners, and is built on open research, open models and open-source software. This is a unique opportunity to help develop some of Europe’s most advanced open language models from the ground up.

The position

As an Application Expert for AI Infrastructure, you will be part of the team developing the technical software environment for training, evaluating and operating the next generation of open language models. You will be responsible for the software infrastructure required to develop, train, test and deploy models with billions of parameters on some of Europe’s most advanced supercomputers. The duties include distributed AI frameworks and container platforms to communication libraries, storage systems and training pipelines. A central part of the role is developing, configuring and optimizing software stacks for distributed training, inference and evaluation of large language models. You will work with modern open AI frameworks and develop reproducible and portable container-based environments that enable robust and efficient training and evaluation across thousands of accelerators.

Your work will also include identifying and eliminating bottlenecks in computation, communication and storage, optimizing GPU utilization, parallelization, inter-node communication and I/O performance on parallel file systems. You will develop solutions for monitoring, logging, debugging and recovering long-running training jobs, build automated training and evaluation pipelines, and serve as the technical link between AI engineers, researchers, software developers and the NAISS operations team. Together you will build the national AI infrastructure that enables the training and evaluation of some of Europe’s most advanced open language models.

The role involves close collaboration with international research projects, hardware vendors and developers of leading AI frameworks, providing excellent opportunities to influence the future technical platforms for large-scale artificial intelligence.

You will work at the forefront of technology with access to the latest generation of GPU accelerators, high-speed interconnects, parallel file systems and distributed AI frameworks. This position is ideal for someone who wants to combine deep systems expertise with large-scale AI and enjoys solving technical challenges where performance, scalability, robustness and reproducibility are critical.

The person we need

Requirements for the position include:

• A Master’s degree or equivalent in Computer Science, Computer Engineering, Engineering Physics, Electrical Engineering, Mathematics or another relevant field, or equivalent documented experience.
• Strong programming skills in Python together with solid knowledge of Linux and modern software engineering practices.
• Experience with distributed systems, high-performance computing (HPC), cloud infrastructure or other large-scale computing environments.
• Experience with container-based environments and automation of technical workflows.
• Excellent written and spoken English communication skills in an international development environment.

Of merit for the positions are:

• Experience with distributed training or inference of large AI models on GPU clusters.
• Experience with modern AI frameworks for large-scale machine learning, such as PyTorch, JAX, NVIDIA NeMo, Megatron-LM or DeepSpeed.
• Experience with GPU programming, communication libraries or high-speed interconnects, such as CUDA, NCCL, Slingshot, InfiniBand or NVLink.
• Experience with container technologies, CI/CD, version control and automated testing.
• Experience with performance analysis, profiling and optimization of large-scale parallel applications.
• Experience developing open-source software or conducting research-oriented software development.

The workplace

NAISS forms the core of Sweden’s national research infrastructure for computational science and artificial intelligence. As part of the SELLMA project, you will join a national flagship initiative in an internationally leading and technically advanced environment at Linköping University. We offer access to world-class computing infrastructure, collaborations with leading international research and development environments, and the opportunity to help build Sweden’s long-term AI capabilities from the ground up.

Welcome to find more information about NAISS.

The employment

Permanent position, full-time, 100%.

Starting date by agreement.

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 applies individual and differentiated salary setting in accordance with the applicable collective agreements (RALS/RALS-T) and the University's salary policy guidelines.

NAISS offers a possibility of remote work up to 40% of the working time as well as opportunities to combine parenthood and an active lifestyle with employment.

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 2026-09-17.

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