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Salary
≈ $85k – $180k per year (Estimated)
Location
In office (Lugano)
Employment
Full-Time

First seen by Alion on Sep 24, 2026.

Overview
Company
Impact
Profile match
ETH Zurich is a Swiss public university for science and technology whose research institutes include the Institute of Robotics and Intelligent Systems and its Soft Robotics Lab. Through the Singapore-ETH Centre it runs research projects in Singapore, where it hires machine learning researchers and PhD researchers to build soft robotic systems for automated baggage handling in aircraft cargo holds. The university is based in Zurich, Switzerland.
Backed by Blue Lion

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 work location is Lugano.


Project background


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


We are offering a contract initially limited to two years, which will provide the opportunity 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 foundation models in the weather and climate domain.


The initial two-year contract could potentially be extended or even become permanent.


Job description


The main goal of this position is to develop and manage HPC/AI services on top of a multi-tenant infrastructure. As a Platform automation engineer, you will directly contribute to the design, implementation, maintenance, and documentation of platform services to support HPC and AI. Your work will directly enhance the overall system functionality and efficiency.


Main duties:

  • Investigating, troubleshooting, and debugging platform services and infrastructure resources
  • Developing, maintaining, and supporting tools and pipelines to support platforms on a geographically redundant infrastructure
  • Developing automations to provision, test, deploy, and monitor resources to support the needs of HPC and AI platforms
  • Supporting, documenting, and sharing knowledge of tools, and procedur


Profile


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


You should have a sound knowledge of:

  • Experience in the deployment of HPC, AI, or Cloud infrastructures
  • Management of HPC/AI services to maximize utilization of compute, storage and high speed network components
  • Working knowledge of automation tools and frameworks, including CI/CD processes and ecosystem
  • Linux administration skills


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:

  • Versioning systems and CI/CD workflows such as ArgoCD
  • Debugging of microservices running on Kubernetes
  • Performance monitoring and diagnostic tools for HPC/AI hardware
  • Infrastructure as Code tools such as Terraform and Ansible


Personal qualities:

  • Self-motivated and proactive team player
  • Strong communication skills or interest in developing them
  • Strong problem-solving mindset with tolerance for uncertainty and change
  • Understands user needs and works collaboratively to address them
  • Adaptive and willing to learn new technologies with and from others
  • Comfortable tackling complex or ambiguous problems
  • Comfortable admitting when you don't know, reaching out and leveraging the right expertise when needed


Project management and methodology:

  • Experience with working in self-organized teams
  • Familiarity with Agile methodology
  • Experience with test-driven development is a plus


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.


> 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 Mark Klein, [email protected] (no applications).


For recruitment services, the GTC of ETH Zurich apply.

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