Lead Research Engineer, SVS/DMD, ARTC

Job Description 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.