System Engineer for ML Platform on a Cloud-like HPC Infrastructure (Data-Centric Focus)

System Engineer for ML Platform on a Cloud-like HPC Infrastructure (Data-Centric Focus)

100%, Singapore, fixed-term

The Singapore-ETH Centre was established in 2010 by ETH Zurich - The Swiss Federal Institute of Technology and Singapore’s National Research Foundation (NRF), as part of the NRF’s CREATE campus. As ETH Zurich's only research centre outside of Switzerland, the centre has strengthened the research capacity of ETH Zurich to develop sustainable solutions to global challenges in Switzerland, Singapore and the surrounding regions.

Set in Asia, in a rapidly urbanising region, the Singapore-ETH Centre aims to provide practical solutions to some of the most pressing challenges on urban sustainability, resilience and health through its programmes: Future Cities Lab Global (FCL Global) and Future Health Technologies (FHT).

The centre serves as an intellectual hub for research, bringing together principal investigators and researchers from diverse disciplines and backgrounds. To promote the exchange of ideas and expertise, our researchers actively collaborate with universities and research institutes and engage with industry and government agencies to translate knowledge to practical solutions to real-world problems.

Project background

The AIS Instrumentation Gym is a multi-tier ML platform being built by both the National University of Singapore and the Singapore-ETH Centre (SEC) for shared scientific instruments (e.g., electron microscopy, X-ray imaging, and light microscopy). It supports researchers across three compute scales: laptop-based prototyping (S-Gym), single-GPU workstations (M-Gym), and multi-node HPC at the National Supercomputing Centre Singapore (L-Gym).

The Gym's purpose is to close the gap between high-dimensional scientific data and hypothesis generation. It does this by turning raw imaging data into learned, interpretable representations that scientists can explore as navigable landscapes: making patterns, anomalies, and structure legible at scales human intuition can no longer reach unaided.

As an ecosystem, the Gym brings together domain scientists, ML researchers, and systems builders around a common platform. We are now hiring full-time engineers and researchers to build, validate, and scale it.

Job description

As a System Engineer for ML Platform on a Cloud-like HPC Infrastructure (Data-Centric Focus) you will:

Manage the ML platform with a data-centric focus, ensuring infrastructure supports the full research lifecycle - from data tokenization to model cartography and validation - rather than just code deployment.

Support data-centric CI/CD pipelines that ensure the automatic logging of artifact provenance (linking specific training data IDs, preprocessing logs, and model hyperparameters to deployment artifacts).

Use automation frameworks (Ansible) to manage modular vService integrations, allowing the seamless incorporation of Token-Cartographer components (e.g., tokenization and alignment modules) into research environments.

Ensure platform observability makes data and latent space embeddings visible and queryable for researchers throughout the model's lifetime.

Maintain the interface to the infrastructure provisioning APIs to support dynamic, multi-tenant vCluster creation and resource allocation.

Support the end-to-end provisioning and management of the ML platform, including secret vaults, git runners, and centralized artifact repositories.

Position requires quarterly travel to Switzerland to synchronise with the core Swiss team. Join us to operate an ML platform at the bleeding edge of innovation, driving impact within a world-class tech stack.

Profile

Must-haves:

A bachelor’s degree or higher in computer engineering, computer science, a relevant technical field, or equivalent practical experience.

You should have a knowledge of:

Microservice architecture

Linux administration skills

Automation tools and framework, including CI/CD processes and ecosystem (e.g., Gitlab CI, HashiCorp Vault)

Developing Ansible configurations

Versioning systems and CI/CD workflows such as ArgoCD

Preferred:

Understanding of "Data-Centric" ML principles (e.g., ensuring data quality, lineage, and versioning are first-class citizens in CI/CD).

Experience building CI/CD pipelines for modular scientific/ML libraries or containerized research workflows.

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-organised teams

Familiarity with Agile methodology

Experience with test-driven development is a plus

Workplace

Workplace

We offer

Accredited with 5 Tripartite Standards by Tripartite Alliance for Fair & Progressive Employment Practices (TAFEP) Singapore.

A diverse workplace with 32 nationalities, offering ample opportunities for mutual learning.

Positive and inclusive working environment

25 days of annual leave for fixed-term contracts

1 day of Birthday Leave

Annual dental benefits

Committed to being a supportive employer as you prioritize your physical and mental wellness

Comprehensive healthcare insurance coverage

Flexible hybrid work arrangement (up to 2 days per week from home)

Abundant networking opportunities across various disciplines

Accredited with NS mark certification

The Singapore-ETH Centre is an equal opportunity and family-friendly employer. All candidates will be evaluated on their merits and qualifications, without regards to gender, race, age or religion.

Working, teaching and research at Singapore-ETH Centre

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.

We look forward to receiving your application. Please submit the following application documents as a SINGLE merged PDF document, titled with your last name and initials as well as the application date (for example, 20230701_DoeJane_application) in the following order:

Your CV including the name and contact.

Other optional additional information:

A cover letter with a specific statement of your motivation for the project.

Information of 2 references.

A copy of your university transcripts as PDFs.

Applications via email or postal services will not be considered.

Work location: 1 Create Way, CREATE Tower, Singapore 138602 (NUS University Town)

Contract Duration: 2 Years

Salary: Remuneration will be commensurate with the candidate's qualifications and relevant experience.

Further information