Integrated Logistics Support (Ils) Senior Engineer

About ST Engineering ST Engineering is a global technology, defence, and engineering group with offices across Asia, Europe, the Middle East, and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence, and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange. Our history spans more than 50 years, and our strategy is underpinned by our core values – Integrity, Value Creation, Courage, Commitment and Compassion. These 5 core values guide every aspect of our business and are embedded in our ST Engineering culture – from the people we hire, to working with each other, to our partners and customers. About our Line of Business - Training & Simulation Systems Our Training & Simulation Systems business has close to 40 years of experience in delivering innovative learning, training, and simulation solutions to customers in the defence, public safety and security, and enterprise domains. We envision to create a better future together through learning, training, and simulation. Together, We Can Make A Significant Impact The Integrated Logistics Support (ILS) Senior Engineer will execute the requires a blend of technical expertise, analytical skills, and project management capabilities to support the planning, development, implementation, and sustainment of logistics support solutions by performing logistics analyses, evaluating software, hardware and AI-enabled system architectures in reliability, maintainability, and verifying system-criticality and comply with military standards and any established AI principles. Be Part of Our Success To ensure the effective and efficient operation of training and simulation project systems by integrating logistics considerations throughout its lifecycle to enable our simulation systems to conform to authority and/ or other relevant safety standards and requirements To work closely with our project teams comprising of program manager, technical manager, system designers, developers, and test engineers to implement system safety requirements for our projects To equip with a blend of technical expertise, analytical skills, and project management capabilities to support the planning, development, implementation, and sustainment of logistics support solutions Logistics Planning: Develop comprehensive logistics plans in coordination with project managers and stakeholders to ensure seamless integration of logistics support throughout the system lifecycle Configuration Management: Manage configuration baselines and ensure that logistics requirements are integrated into the overall configuration management process Supply Chain and Obsolescence Management: Collaborate with partners, suppliers, and original equipment manufacturers to optimize inventory levels by incorporating any industry AI agent, to minimize lead times, ensure timely availability of spare parts and materials, and to trigger discussion for solutions to equipment that are reaching end-of-life Reliability Engineering: Analyse system reliability data to identify trends, software and AI-related failure modes, and opportunities for improvement to enhance system availability and performance Maintenance Planning: Develop maintenance schedules, procedures, and strategies to minimize downtime and maximize system availability while optimizing maintenance costs with the use of AI driven BIT designs Technical Documentation: Oversee the development and maintenance of technical documentation, including manuals, training materials, and support documentation, to facilitate effective AI operation and maintenance of the system Training and Support: Coordinate training programs and provide technical support to end-users, maintenance personnel, and other stakeholders to ensure proficiency in system operation and maintenance tasks Life Cycle Cost Analysis: Conduct life cycle cost analyses to assess the total cost of ownership and identify opportunities for cost reduction and performance improvement throughout the system lifecycle Risk Management: Identify logistics-related risks and develop mitigation strategies with AI safe failover to minimize potential disruptions to system operation and support activities and regular monitor any defect or failure detected. Continuous Improvement: Drive continuo…