Systems Engineer – Cloud and Platform Services

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.

Project background

As high-performance computing, AI, and cloud technologies continue to converge, CSCS is redefining how to design and deliver advanced computational services. Modern scientific and engineering workloads are no longer just large; they are complex, data-intensive, and highly diverse, meaning they push existing infrastructure to its limits.

This position is funded via the Helvetic AI Resources ,Technologies, and Services (HEARTS) project, and is based on a two‑year contract, which can be extended or potentially become permanent.

Our core values :

We are looking for candidates who share our 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 take responsibility and tackle challenging or ambiguous problems. You are willing to take initiative and have the difficult conversations that can move a team forward.
• Supportive : You help colleagues and users succeed and contribute to a positive team culture.
• Integrity : You act honestly, ethically, and reliably. and take ownership of your work.
• Job description The primary goal of this position is to design, implement, and operate scalable inference services within a multi-tenant HPC infrastructure
• As a systems engineer, you will play a key role in the architecture deployment, operation, and documentation of production-grade inference platforms that support a wide range of AI-driven workloads

Your work will directly influence the evolution of CSCS's AI and HPC capabilities, which will improve the performance, reliability, and efficiency of our inference services and enable researchers and engineers to deploy and run advanced models at scale.

Profile

You should have a bachelor's degree or higher in computer engineering, computer science, a relevant technical field, or equivalent practical experience.

You should have a sound knowledge of :

Experience with the following is preferred, though there will be ample opportunities to learn and gain more experience with all of these skills on the job :

Personal qualities :

Project management and methodology :

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 .