GovTech

Government

SystemsEngineer,Modelling&Physics-AI

S$95–140k ~AI est. Singapore, Singapore FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Systems Engineer, Modelling & Physics-AI at GovTech. Skills: Physics-AI, Modelling, Machine Learning, Deep Learning. Provide predictive intelligence layer. Implement surrogate models”

Industry & Context.

Government
Problems you'll solve

Root cause analysis

What They're Looking For.

Must Have

Degree in Computer Science, Applied Mathematics degree, Physics degree, Related AI/ML discipline degree, 3 years relevant experience, Modelling experience, Machine learning experience, Deep learning experience, Physical systems focus, Python skills, GPU-accelerated HPC experience, Scientific datasets experience, Physics-based datasets experience, Combine geospatial outputs, Neural solvers understanding, Spatially-aware AI models, Geographic constraints understanding

Nice to Have

NVIDIA PhysicsNeMo experience

What You'll Do.

Provide predictive intelligence layer

Implement surrogate models

Predict system behaviour

Build predictive engines

Design Physics-AI models

Simulate physical phenomena

Develop surrogate models

Replace computationally expensive solvers

Enable real-time planning

Build training pipelines

Handle large-scale data

Apply Neural Operators

Predict environmental effects

Integrate AI inference engines

Visualize predicted outcomes

Validate AI model predictions

Ensure trustworthiness

Full Job Description

GovTech is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government’s capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity. At GovTech, we offer you a purposeful career to make lives better where we empower our people to master their craft through robust learning and development opportunities all year round. Play a part in Singapore’s vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today! Learn more about GovTech at tech.gov.sg. [What you will be working on] We are seeking a Systems Engineer (Modelling & Physics-AI) to provide the predictive intelligence layer of our Next-Generation Digital Twin platform. Your mission is to move beyond static dashboards by implementing surrogate models that predict system behaviour in real time. You will work at the cutting edge of Physics-AI, building predictive engines for built environment, maritime, and aviation operations that are both computationally efficient and physically grounded. Design and deploy Physics-AI models using NVIDIA PhysicsNeMo to simulate complex physical phenomena such as fuel consumption, structural stress, and wake patterns. Develop surrogate models that replace computationally expensive solvers, enabling real-time "what-if" operational planning at millisecond latency. Build and maintain training pipelines for Neural Operators to handle large-scale maritime and aviation spatial data. Apply Neural Operators to geospatial datasets to predict environmental effects such as wind fields and tidal currents across large operational areas. Integrate AI inference engines into the NVIDIA Omniverse ecosystem for real-time visualisation of predicted

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