The Swiss National Supercomputing Centre (CSCS), operated by ETH Zurich, develops and operates high-performance computing and data research infrastructure supporting world-class science in Switzerland. The centre provides a user laboratory for researchers in academia, industry, and the business sector, with offices in Lugano and Zurich. For this position, the preferred work location is Lugano, but Zurich is also possible.
This role offers the opportunity to contribute to a fast-evolving AI landscape, including national and international initiatives such as the Swiss AI Initiative and the development and release of the Apertus models. The initial contract is limited to two years, with the possibility of extension or becoming permanent.
Tasks
- Design, deploy, automate, and operate scalable infrastructure and cloud-native platform services.
- Contribute to Kubernetes-based AI/ML and HPC platforms, including CI/CD, GitOps, observability, security, and operational tooling.
- Collaborate with researchers and engineers to support complex workflows, troubleshoot production environments, and improve reliability and performance.
- Contribute to platform engineering, automation, and developer productivity initiatives across evolving systems and services.
Requirements
- Experience in Linux systems engineering and software development (e.g., Python, Bash).
- Knowledge of containers, Kubernetes, CI/CD, GitOps, and Infrastructure as Code (e.g., Terraform, Helm, Ansible, ArgoCD).
- Understanding of distributed systems concepts, APIs, scalability, observability, identity and access management, and security.
- Familiarity with AI/ML platforms and supporting infrastructure services.
- Experience with HPC systems, GPU clusters, and large-scale infrastructure environments.
- Interest in platform engineering and developer productivity tooling.
- Ability to work in secure or confidentiality-sensitive operational environments.
- Curious, hands-on, and eager to understand systems inside-out.
- Strong engineering mindset and problem-solving attitude.
- Comfortable learning new technologies and working across disciplines.
- Effective communicator and collaborative team player.
- Ways to stand out: Experience supporting research or scientific computing environments, familiarity with HPC systems and services, exposure to GPU clusters and accelerated computing, experience with SRE practices or on-call operations, advanced Linux security knowledge, ability to leverage AI tools for increased productivity.
Benefits
- Opportunity to become part of ETH Zurich, supporting professional development and contributing to positive societal change.
- 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.
- Exciting working environment, cultural diversity, and attractive offers and benefits.
- Commitment to building a diverse and inclusive engineering team, with encouragement for applications from groups underrepresented in tech.
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