Editorial summary

The company is seeking a System Engineer for an ML Platform on a Cloud-like HPC Infrastructure with a data-centric focus for the AIS Instrumentation Gym, a collaboration between the National University of Singapore and the Singapore-ETH Centre. The role involves designing and maintaining a multi-tier ML platform that supports laptop prototyping (S-Gym), single-GPU workstations (M-Gym), and multi-node HPC at the National Supercomputing Centre Singapore (L-Gym), enabling data-centric scientific workflows. Key requirements include hands-on experience with ML platforms and cloud-like HPC environments, a data-centric systems mindset, and familiarity with multi-scale compute ecosystems. Compensation is 12,000 per month.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job https://singapore.job-q.com/jobs/detail/system-engineer-for-ml-platform-on-a-cloud-like-hpc-infrastructure-data-centric-focus-42269 first appeared in Job-Q.com on 10 Nov 2026]

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.

Selection Criteria

Applicants to the position,

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:

1. Microservice architecture 
2. Linux administration skills 
3. Automation tools and framework, including CI/CD processes and ecosystem (e.g., Gitlab CI, HashiCorp Vault) 
4. Developing Ansible configurations 
5. 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: 

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

• Project management and methodology: 

1. Experience with working in self-organised teams 
2. Familiarity with Agile methodology 
3. Experience with test-driven development is a plus

Why SEC is your employer of choice?

• 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.

Curious? So are we.

We look forward to receiving your online application with the following documents:

• Your CV including the name and contact.
• Other optional additional information:

1. A cover letter with a specific statement of your motivation for the project.
2. Information of 2 references.
3. 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

Further information about The Singapore-ETH Centre can be found on our website: https://sec.ethz.ch/

For further information, please contact: Prof. Duane Loh (NUS) at , (strictly no applications)

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