Lead Research Engineer, SVS/DMD, ARTC

The Advanced Remanufacturing and Technology Centre (ARTC) is seeking a Lead Research Engineer to lead the design and delivery of innovative software solutions for smart manufacturing. This role is ideal for an experienced engineer & solution architect with strong leadership skills who can combine deep software expertise with AI-driven approaches to transform planning, scheduling, and inventory management. The role will not only architect enterprise-grade solutions but also drive the R&D technology roadmap, mentor development teams, and ensure seamless integration of AI/ML and GenAI capabilities into next-generation manufacturing platforms. 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. * Lead architecture reviews, design discussions, and provide hands-on technical guidance. * 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. The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.