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

ETH SINGAPORE SEC LTD.; Singapore; On-site; SGD 90,000 - 140,000; Full time

Benefits offered by this job

Flexible hybrid work arrangement

Annual leave & healthcare benefits

Dental benefits

Networking opportunities

Job summary

The Singapore-ETH Centre is seeking a System Engineer for ML Platform on a Cloud-like HPC Infrastructure with a data-centric focus. You will manage the ML platform to support the full research lifecycle, from data tokenization to model validation, beyond simple code deployment.

Responsibilities include data-centric CI/CD, artifact provenance, and modular vService integrations using Ansible. You will ensure platform observability and multi-tenant provisioning, collaborating across Swiss and

Qualifications

• Bachelor's degree or higher in computer engineering, computer science, or equivalent practical experience.
• Knowledge of microservice architecture, Linux administration, CI/CD processes, and related tooling.
• Experience developing Ansible configurations and managing modular vService integrations.
• Familiarity with version control and CI/CD workflows (GitLab CI, ArgoCD).
• Understanding data-centric ML principles and scalable research platforms.

Responsibilities

• Manage ML platform with a data-centric focus across the research lifecycle.
• Support data-centric CI/CD pipelines ensuring artifact provenance.
• Use automation frameworks (Ansible) to manage modular vService integrations.
• Ensure platform observability for data and latent space embeddings.
• Maintain interfaces to infrastructure provisioning APIs for multi-tenant vCluster creation.

Skills

Microservice architecture

Linux administration

CI/CD practices

Ansible configurations

ArgoCD

Education

Bachelor's degree or higher in computer engineering or computer science

Tools

Gitlab CI

HashiCorp Vault

Ansible

Docker

ArgoCD

Job description

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.

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 [e-mail], (strictly no applications)