Simulation Integration Developer
The candidate will be part of the team developing a federated computational infrastructure for multi-domain modelling and simulation. The candidate will focus on the software and system integration of sophisticated simulation models (developed by multiple research partners) into a system-of-systems, which will be used by governmental agencies and affiliated organisations to address complex policy issues. The responsibilities include but are not limited to:
- Design a federated integration architecture for the system-of-systems.
- Strategize and execute a phased deployment plan for the federation.
- Assess and evaluate existing integration technologies to determine their suitability for the project's requirements.
- Integrate and customise simulation models to work seamlessly within the broader federation.
- Develop connectors, interfaces, and adapters to facilitate model communication and data interchange.
- Perform verification and validation of integrated simulations, including internal testing and external validation with stakeholders.
- Collaborate with cross-domain teams to incrementally and continuously integrate their simulation models into the federation.
- Optimise simulation and federation performance and stability.
- Construct test cases to ensure correctness, robustness, scalability, and security of the federation.
- Contribute to open-source development for selected system components.
- Support other development activities (e.g., machine learning, frontend, backend).
Education and experience requirements:
- Bachelor's or Master's degree in computer science, software engineering, or related fields.
- Minimum of 5 years of experience in simulation development and/or system integration.
Technical skills:
- Strong proficiency in a wide range of programming languages, including Python, Java, JavaScript, and C++.
- Proficiency in high-performance communication technology (e.g., gRPC, MPI, ZeroMQ)
- Proficiency in simulation software and tools (e.g., SimPy, MASON, Repast, Simulink, AnyLogic, SUMO).
- Familiarity with simulation integration standards and frameworks (e.g., HELICS, HLA, DIS)
- Familiarity with model pipelining tools (e.g., Airflow, MLflow, Argo).
- Experience with containerization and orchestration technologies, such as Docker and Kubernetes.
- Experience with version control systems (e.g., Git).
Soft skills:
- Excellent communication skills to collaborate with interdisciplinary teams.
- Strong problem-solving and critical thinking abilities.
- Strong project management and time management skills.
- Strong capacity for self-motivation, independence, and initiative to take ownership and complete tasks without constant supervision.
- Adaptability to work in a fast-paced, dynamic research environment.
The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.
