Software Engineer in the area of Machine Learning The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research infrastructure that supports world‑class science in Switzerland. Its user laboratory is available to domestic and international researchers in academia, industry, and the business sector. The centre is operated by ETH Zurich and has offices at its data centre in Lugano and in Zurich.
For this position the preferred work location is Zurich, but it could also be Lugano.
Project background We are seeking a driven software engineer to work at the intersection of machine learning and high‑performance computing, tackling complex, open‑ended challenges to deliver scalable solutions. You will design and optimize a software‑defined infrastructure that enables cutting‑edge AI/ML projects in a high‑performance and data‑intensive environment.
We value technical excellence, curiosity, and the ability to learn and grow, rather than a initial perfect match of a skills checklist. If you are motivated to make an impact in this space but do not meet all requirements, we still strongly encourage you to apply.
We are offering a contract initially limited to two years, which will provide theopportunity to contribute to a fast‑evolving AI landscape in which CSCS plays a key role and to support high‑impact initiatives both nationally and internationally. This includes contributions to the Swiss AI Initiative and similar programs, such as lending support for the development and release of the Apertus models.
The initial two-year contract could potentially be extended or even become permanent.
Collaborate with researchers and users to understand and solve complex, real‑world problems
Contribute to AI/ML projects, including large language model training, inference, fine‑tuning, and HPC‑accelerated workflows
Develop, maintain, and optimise software and systems, from core libraries programming to scripting and automation
Take ownership of high‑impact tasks and see them through to completion while maintaining effective communication with stakeholders
Jump into ill‑defined problems, explore solutions, and learn along the way
Profile We welcome engineers with diverse backgrounds who are eager to contribute to our mission. We are primarily looking for strong technical foundations, sound engineering judgment, and the ability to bridge gaps across domains. Curiosity, adaptability, willingness to learn on the job, and potential for growth matter more to us than a perfect initial match of technical requirements.
The technologies listed below illustrate the breadth of our stack and areas of interest. They are not a checklist of requirements, and experience in only some of these areas is expected.
Technical environment and areas of interest:
Large‑scale parallel and distributed systems, including performance tuning
Programming and tooling such as C/C++, Python, CUDA, OpenMP, and Spack
Linux‑based systems, scripting, Slurm, and general systems engineering
Containerized and Kubernetes‑based service deployment and operations
Large‑scale machine learning and LLM workflows (e.g., PyTorch, Megatron, pre‑training, fine‑tuning, inference)
Storage and data systems (e.g., Lustre, NFS, VAST)
Collective communication and high‑speed networking (e.g., NCCL, RCCL, MPI)
Monitoring and observability (e.g., DCGM, LDMS, metrics dataflow pipelines and data products development)
Testing frameworks, software quality practices, and DevOps/GitOps approaches
Self‑motivated, proactive, focused, and collaborative
Strong problem‑solving mindset and comfort tackling complex or ambiguous problems
Clear communicator with a strong sense of user needs
Open to learning new technologies and working across disciplines
Comfortable asking for help and engaging the right expertise when needed
Ways of working:
Ability to thrive in collaborative, self‑organizing environments based on Agile principles
Experience with structured development practices such as test‑driven development is a plus.
Our core values as guiding principles:
Curiosity: You enjoy learning, exploring new ideas, and understanding problems deeply
Openness: You listen, collaborate, and are receptive to different perspectives
Courage: You tackle challenging or ambiguous problems and are willing to take initiative
Supportive: You help colleagues and users succeed and contribute to a positive team culture
Integrity: You act honestly, ethically, and reliably in your work
Workplace We offer We are committed to building a diverse and inclusive engineering team and particularly encourage applications from groups underrepresented in tech. If you are technically adept, curious, and eager to grow, we want to hear from you.
Your job with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society
You can expect numerous benefits, such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ, childcare and attractive pension benefits
You can look forward to an exciting working environment, cultural diversity and attractive offers and benefits.
We value the diversity of our team and, to further enhance the diversity of our workforce, we particularly encourage women to apply.
chevron_right Working, teaching and research at ETH Zurich
We value diversity and sustainability In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate‑neutral future.
Curious? So are we. Please include the following documents with your application:
Motivation letter in pdf
CV in pdf
Relevant certificates and diplomas in pdf format
We look forward to receiving your online application, including a letter of motivation, CV, diplomas, and employment certificates. Please address your application to Mrs Stephanie Frequente, CSCS Human Resources, Via Trevano 131, 6900 Lugano.
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
Further information about CSCS can be found on our website. Questions regarding the position should be directed to Stefano Schuppli, schuppli@cscs.ch (no applications).
For recruitment services, the GTC of ETH Zurich apply.
ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting‑edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.
In your application, please refer to Polytechnicpositions.com
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