About the role

AI summarised

The IE Layout Engineer supports the planning and management of equipment and systems layouts across plant, office, and production facilities. Responsibilities include conducting scenario studies, optimizing workflows, preparing cost estimates, and implementing AI-driven solutions to improve efficiency. The role requires collaboration with cross-functional teams, including R&D and process engineering, to support future product introductions.

IDMOnsiteAssembly & Test

Key Responsibilities

Support scenario studies to meet strategic objectives
Deploy appropriate AI-driven solutions in achieving effective and efficient outcomes for self and teams
Perform design and development engineering assignments related to equipment and systems layouts in plant, office, and production facilities
Conduct studies to determine the efficient sequence of operations and workflow
Recommend processes for maximum utilization of production facilities and personnel
Prepare cost estimates for proposed projects and evaluate cost factors
Participate in testing and implementation of new production systems
Interface with research and development and process engineering to plan for future product introduction
Perform on-site checks such as layout validations and equipment-area walkthroughs in cleanroom environments

Requirements

Bachelors degree in Industrial/Mechanical/Electrical/Computer engineering or related discipline
Proficiency in M365 Apps such as Microsoft Excel, Microsoft PowerPoint etc
Strong critical-thinking skills, with the ability to analyze constraints, evaluate trade-offs, and support data-driven decision-making in layout planning
Strong communication skills and a collaborative mindset to drive actions and alignment with cross-functional stakeholders
Highly motivated, adaptable, and comfortable working in a fast-paced, dynamic, and rapidly changing environment
Ability to multi-task and organize work systematically in meeting deadlines without compromising on quality
Physically able to work inside a cleanroom environment, including wearing full cleanroom attire (smock, hood, gloves, boots)
Demonstrated at least 2 years of leadership skills, such as in university or other co-curricular activities
Prior programming work (inclusive of vibe coding using free Gen AI tools)
Hands-on experience in AI (Chatbot, Agentic AI, Automation, etc) tools in academic or work environments
Internship or experience in the semiconductor industry is a plus
Interest in and knowledge of the semiconductor industry and Micron is preferred