Systems Engineer, Modelling & Physics-AI

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 outcomes.

• Validate AI model predictions against real-world sensor data to ensure reliability and trustworthiness in safety-critical operational contexts.

[What we are looking for] 

• Degree in Computer Science, Applied Mathematics, Physics, or a related AI/ML discipline.

• At least 3 years of relevant experience in modelling or machine learning, with a focus on deep learning for physical systems.

• Strong Python skills and experience with GPU-accelerated high-performance computing.

• Experience working with scientific or physics-based datasets.

• Understanding of how to combine geospatial outputs with neural solvers to build spatially-aware AI models that respect geographic constraints.

Good to have

• Hands-on experience with NVIDIA PhysicsNeMo.

• Familiarity with time-series forecasting for IoT sensor data streams.

• Experience with Physics-Informed Neural Networks (PINNs) or Neural Operators such as FNO or DeepONet.

• Background in reinforcement learning for autonomous systems such as vessels or drones.

What we offer you:   

GovTech is an equal opportunity employer committed to fostering an inclusive workplace that values diverse voices and perspectives, as we believe that diversity is the foundation to innovation.    

Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. These include leave benefits to meet your work-life needs and employee wellness programs.  

We champion flexible work arrangements (subject to your job role) and trust that you will manage your own time to deliver your best, wherever you are, and whatever works best for you.   

Learn more about life inside GovTech at go.gov.sg/GovTechCareers. 
Stay connected with us on social media at go.gov.sg/ConnectWithGovTech