Join us in the DELMIA Quintiq Scheduler team as an Optimization & AI Engineer Intern, where you will work on advanced optimization solutions that tackle complex production and logistics challenges across global industries. During this internship, you will work on a dedicated research project focused on improving our optimization software. You will explore and test techniques that help our optimization software avoid getting stuck in suboptimal solutions and produce better scheduling results, while working closely with experienced R&D engineers and researchers.
This is a 7-month internship, starting approximately in September 2026.

Role description & Responsibilities

• Conduct a thorough review of relevant academic methods (e.g., sophisticated metaheuristics, large neighborhood search, advanced restart strategies) that can effectively deal with complex local optima in scheduling
• Select one or more promising techniques, implement them as a proof-of-concept within our existing optimizer environment and test their performance on real-world datasets
• Analyze the current optimizer behavior, identify specific scenarios leading to local optima, and develop innovative methods to address these limitation
• Document your research and results, providing clear, evidence-based recommendations for potential integration into the core system
• Collaborate closely with the R&D team and contribute to discussions on optimization improvements and industrial applications

Qualifications

• Currently pursuing a Master’s degree in Operations Research, Computer Science, Econometrics, (Applied) Mathematics, or a related field
• A strong foundation in optimization theory, algorithms, operations research, and data structures with a strong interest in scheduling
• Proficiency in at least one (object-oriented) programming language (C++, Java, or Python preferred)
• Strong communication skills in English
• Analytical mindset and proactive approach to problem-solving

What’s in it for you

• A unique opportunity to gain hands-on experience in a global tech company
• Exposure to real-world projects and collaboration with experienced professionals in an international, multicultural team
• A supportive environment that encourages learning, innovation and personal growth

Interested? Click on "Apply" to upload your application documents