Intern: Dynamic Scheduling for Autonomous Robot Fleet

Micron Technology; Singapore; On-site; SGD 22,000 - 33,000; Full time

Job summary

Micron Technology, Inc. in Singapore invites a motivated student to join an internship in the Digital Automation & Solutions Team focused on optimizing Autonomous Mobile Robot fleet operations.

You will study the current dispatching process, formulate an optimization model, develop a prototype scheduling algorithm in Python, and document results for stakeholder reviews. The project offers exposure to AI-enabled workflows and real-time data analysis with potential for future employment.

Qualifications

• Foundation in optimization, operations research, scheduling, routing, or combinatorial optimization.
• Programming knowledge for modelling and analysis, preferably Python.
• Strong analytical and problem-solving skills.
• Ability to work with data, process flows, and operational constraints.
• Good communication and documentation skills.
• Familiarity with optimization solvers such as Gurobi or Google OR-Tools is preferred.
• Familiarity with AI-enabled workflows, Generative AI, Code Assist tools, or LLMs where relevant to the project.

Responsibilities

• Study the current manual dispatching and delivery grouping process.
• Identify data inputs, constraints, and decision factors.
• Formulate the scheduling and grouping problem into an optimization model.
• Develop and test a real-time scheduling prototype.
• Document methodology, results, and recommendations for future implementation.

Skills

Optimization

Python

Data analysis

Scheduling

Communication

Education

Industrial Engineering

Tools

Gurobi

Google OR-Tools

Job description

Micron Technology, Inc. in Singapore invites a motivated student to join an internship in the Digital Automation & Solutions Team focused on optimizing Autonomous Mobile Robot fleet operations.

You will study the current dispatching process, formulate an optimization model, develop a prototype scheduling algorithm in Python, and document results for stakeholder reviews. The project offers exposure to AI-enabled workflows and real-time data analysis with potential for future employment.