Research Engineer_Senior Research Engineer (DMD Division_CPPS Group), SIMTech - Geylang
Agency for Science, Technology and Research Geylang Full-time
SIMTech, a research institute under A*STAR, advances high-value manufacturing technologies to boost Singapore's industrial competitiveness. The Digital Manufacturing Division pioneers digital solutions for smart, reconfigurable manufacturing systems, driving innovation for Industry 5.0.
We are looking for a skilled and driven Software Engineer (or Senior Software Engineer) with expertise in C#, ASP.Net, Python, Angular, and a solid foundation in Microservices and DevOps. Join us in a collaborative R&D environment where innovation meets impactful software development for predictive shopfloor analytics.
Key Responsibilities- Design and implement software solutions for predictive shopfloor analytics (e.g. predictive maintenance management, predictive quality management) using C #, ASP.Net, Python, Angular.
- Collaborate with researchers to translate technical needs into software architectures.
- Build and maintain microservices for scalable, reliable systems.
- Integrate cross-platform software components and services.
- Implement CI/CD pipelines using DevOps best practices (e.g., Jenkins, Bitbucket).
- Research and experiment with emerging technologies to improve development workflows.
- Debug, troubleshoot, and optimize systems for performance and stability.
- Bachelor's or Master's in Electrical Engineering, Computer Science, or related field.
- Solid experience with C #, ASP.Net, Python, Angular development.
- Proven work with microservices, Docker, and Kubernetes.
- Proficient in DevOps tools (e.g., Jenkins, Bitbucket CI/CD).
- Knowledge of Agile/Scrum methodologies.
- Strong problem-solving and team collaboration skills
- Knowledge of predictive shopfloor analytics, especially predictive maintenance management and predictive quality management
- Knowledge of networking and cybersecurity in industrial settings.
- Experience with data analytics, AI/ML in industrial applications.
- Familiarity with cloud computing and its integration in manufacturing systems.
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