Jobfoundry
Jobfoundry
A*STAR

Lead Research Engineer, SVS/DMD, ARTC

A*STAR
ResearchSingaporeOnsitePosted 1 week ago
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About the role

AI summarised

Lead Research Engineer at ARTC driving AI-driven software solutions for smart manufacturing. Responsible for architecting enterprise-grade platforms using .NET C#, Angular, and cloud-native technologies while leading R&D roadmap and mentoring teams to integrate AI/ML and GenAI into next-gen manufacturing systems.

ResearchOnsite

Key Responsibilities

  • Lead and mentor development teams for enterprise applications for production scheduling, operations planning, as well as sourcing & inventory analytics
  • Define and implement enterprise solution architectures using .NET C#, Angular, and microservice-based platforms
  • Setting technical direction and ensuring engineering excellence
  • 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
  • Evaluate emerging technologies and guide adoption to maintain a future-ready manufacturing stack
  • 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
  • Familiarity with industrial IoT and edge computing in manufacturing environments
  • Deep knowledge of DevOps/DevSecOps practices, CI/CD pipelines, and secure architectures
  • Excellent verbal and written communication skills
  • Excellent leadership skills
  • Strategic thinker with the ability to balance innovation, feasibility, and business impact