Research Engineer_Senior Research Engineer (DMD Division_CPPS Group), SIMTech - Toa Payoh

apartmentAgency for Science, Technology and Research placeToa Payoh scheduleFull-time calendar_month 

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.
Requirements
  • 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
Preferred 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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