Software Engineer
17 hours ago
**Responsibilities**:
DSO National Laboratories (DSO) is Singapore’s largest defence research and development (R&D) organisation, with the critical mission to develop technological solutions to sharpen the cutting edge of Singapore's national security. At DSO, you will develop more than just a career. This is where you will make a real impact and shape the future of defence across the spectrum of air, land, sea, space and cyberspace.
The Information (INFO) Division focuses on capabilities and technologies that enable MINDEF / SAF to harness and exploit information in the physical battlefield and cyberspace. Capability areas include cybersecurity, cryptography, data analysis and fusion, artificial intelligence, vulnerabilities assessments and operations analysis. INFO Software Laboratory provides expertise in developing software systems for Data Fusion, Big Data Analytics, AI/ML, C2 and Simulation. We also provide a knowledge base for full-stack software systems development software engineering processes and software methodologies.
People are DSO’s greatest asset. You will get to realise your career aspirations and develop your own niche either as a deep technical expert or a leader in the team. With frequent career dialogues and a robust training and development framework, we will provide you with the necessary development tools for you to reach your potential. You will also be recognised and rewarded through competitive remuneration packages and scholarship opportunities.
Software Engineer (Information)
In this role, you will:
- Be part of a dynamic team that is involved in the end-to-end development lifecycle of full stack software solutions, starting from the elicitation of requirements to the development, testing, deployment and iterative improvement of software systems based on the users# needs and mission
- Design and build modern software architectures that are scalable, resilient, safe and secure
- Provide software design and programming expertise to research projects - pairing closely with research scientists across programmes to better engineer and implement the latest algorithmic ideas
- Put into production cutting-edge technologies, algorithms and models
- Design and implement DevOps/DevSecOps pipelines, test environments and simulators for software verifications and validations
- Work closely with research scientists and users across programmes, divisions and organisations to carry out integration tests in the laboratory and potentially in the field
**Requirements**:
**Requirements**:
- Degree / Master in Computer Engineering / Computer Science
- Experience in C / C++ / C# / Java / JavaScript / Python programming and Object-Oriented Analysis and Design
- Passion to build secure server-client systems
- Open-minded and comfortable interacting with engineers from other disciplines
- Interest in any of the following areas: Artificial Intelligence and Machine Learning, Data Analytics or Full Stack Development
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