Jobfoundry
Jobfoundry
A*STAR

Lead Research Engineer, SVS/DMD, ARTC

A*STAR
ResearchSingaporeOnsitePosted 4 weeks ago
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About the role

AI summarised

The Advanced Remanufacturing and Technology Centre (ARTC) is seeking an experienced Lead Research Engineer to lead the design and delivery of innovative software solutions for smart manufacturing. This role requires combining deep software expertise with AI-driven approaches to transform planning, scheduling, and inventory management by architecting enterprise-grade solutions and driving the R&D technology roadmap.

ResearchOnsite

Key Responsibilities

  • Lead and mentor development teams on enterprise applications for production scheduling, operations planning, and inventory analytics.
  • Define and implement enterprise solution architectures using .NET C#, Angular, and microservice-based platforms.
  • Drive the integration of AI/ML, GenAI, and optimisation techniques to enhance planning, scheduling, and inventory management.
  • Develop and maintain the R&D technology roadmap for smart manufacturing applications.
  • Establish standards for data management, interoperability, and real-time analytics in manufacturing ecosystems.
  • Collaborate with all stakeholders to align solutions with business and operational requirements.
  • Contribute to the creation of AI-powered applications that optimise resource allocation, supply chains, and production efficiency.

Requirements

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or related field.
  • 7+ years of experience in software development and solution architecture.
  • Proven expertise in .NET C# (backend) and Angular (frontend).
  • Strong track record in leading teams and driving technology roadmaps.
  • Hands-on experience with Docker, Kubernetes, and cloud-native platforms (AWS/Azure).
  • Deep understanding of AI/ML frameworks, GenAI tools, and optimisation algorithms in planning and scheduling contexts.
  • Deep knowledge of DevOps/DevSecOps practices, CI/CD pipelines, and secure architectures.
  • Familiarity with industrial IoT and edge computing in manufacturing environments.
  • Excellent verbal and written communication skills.
  • Excellent leadership skills.