Internship/Graduation: Improving Engineering Productivity with AI

Posted 2 Days Ago
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Veghel, NLD
In-Office
Internship
Logistics • Other • Software
The Role
Work with the DaVinci Engineering team to identify repetitive engineering tasks, design and pilot at least five AI use cases, evaluate impact on productivity, and recommend scaling. Activities include interviewing engineers, workflow analysis, co-creation workshops, prototyping AI solutions, and measuring adoption and outcomes.
Summary Generated by Built In
Job TitleInternship/Graduation: Improving Engineering Productivity with AI

Job Description

Assignment type: Internship/graduation

Start date: Oktober 2026

Assignment duration: 6 months

Location: Veghel

Education level: Master

Desired study: Data Science, Human-Technology Interaction, Artificial Intelligence & Engineering Systems, Industrial Engineering

Language: Dutch / English

Description of assignment

How can AI help engineers spend less time on repetitive work and more time on innovation? During this internship or graduation project, you will join the DaVinci Engineering team to explore, develop, and implement AI solutions that improve engineering productivity across Vanderlande. Working closely with engineers and AI experts, you will identify opportunities where AI can add value by reducing repetitive tasks, streamlining workflows, and supporting daily engineering activities.
 

As part of the assignment, you will interview and observe engineers to gain insight into their work patterns, challenges, and opportunities for AI support. Based on your findings, you will analyze engineering activities and develop a framework that links different types of work to suitable AI solutions. Together with the engineering team, you will design, pilot, and implement at least five AI use cases, evaluate their adoption and impact on productivity, and provide recommendations for scaling successful solutions across other engineering teams within Vanderlande. By the end of the project, you will have made a tangible contribution to the adoption of AI within engineering, enabling engineers to spend less time on repetitive work and more time on innovation.

Department description

Linesorters is a Technology & R&D department within Vanderlande that develops innovative sortation solutions for parcel and distribution customers worldwide. With a multidisciplinary team of engineers, architects, and specialists, Linesorters combines technical expertise and customer focus to create reliable, flexible, and future-ready solutions that improve operational performance and efficiency.

Tasks/responsibilities
  • Interview and observe engineers from different disciplines (mechanical, electrical, systems, architecture, and documentation) to understand their daily activities and challenges.
  • Analyze engineering workflows and identify opportunities where AI can improve productivity, quality, or knowledge sharing.
  • Organize workshops and co-creation sessions to generate, prioritize, and validate AI use cases together with team members.
  • Design, pilot, and evaluate AI solutions in collaboration with Vanderlande AI experts, and provide recommendations for wider adoption across the organization
 Your profile
  • Strong interest in applying AI to real-world engineering and productivity challenges.
  • Analytical mindset with experience in research methods, data analysis, and problem-solving.
  • Excellent communication skills and comfortable interviewing and facilitating workshops with engineers from different disciplines.
  • You are self-driven, curious, and capable of working independently in a multidisciplinary environment.
  • Experience with Generative AI, machine learning, process improvement, automation, or data analytics is considered a plus
  • *Mandatory enrolment to a Dutch Education System & resident of The Netherlands
Contact

Do you recognize yourself in this challenging profile? Are you looking for an internship in our organization? Please fill out the application form and upload your resume and cover letter. For more information, contact us by e-mail: [email protected].

Skills Required

  • Enrollment in a Dutch education program (mandatory) and resident of the Netherlands
  • Master level education
  • Strong interest in applying AI to engineering productivity challenges
  • Analytical mindset with experience in research methods, data analysis, and problem-solving
  • Excellent communication skills; comfortable interviewing and facilitating workshops with engineers
  • Self-driven, curious, and able to work independently in a multidisciplinary environment
  • Proficiency in Dutch and English
  • Experience with Generative AI, machine learning, process improvement, automation, or data analytics

Vanderlande Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vanderlande and has not been reviewed or approved by Vanderlande.

  • Healthcare Strength Health coverage is described as comprehensive, with day‑one eligibility in many U.S. roles and employer‑paid protections that reduce out‑of‑pocket exposure. Feedback suggests medical, dental, and vision are a clear strength.
  • Retirement Support Retirement offerings include a 401(k) with company match and immediate vesting in the U.S. Feedback suggests this forms a solid pillar of the total rewards package.
  • Leave & Time Off Breadth Paid time off, sick leave, and paid holidays are characterized as generous relative to peers. Compressed workweek options in some roles further support time away and recovery.

Vanderlande Insights

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The Company
HQ: Veghel
7,500 Employees
Year Founded: 1949

What We Do

Vanderlande is the global market leader for future-proof logistic process automation at airports. The company is also a leading supplier of process automation solutions for warehouses and in the parcel market. Vanderlande’s baggage handling systems are capable of moving over 4 billion pieces of baggage around the world per year. Its systems are active in more than 600 airports including 12 of the world’s top 20. More than 52 million parcels are sorted by its systems every day, which have been installed for the world’s leading parcel companies. In addition, many of the largest global e-commerce players and retailers have confidence in Vanderlande’s efficient and reliable solutions. The company focuses on the optimisation of its customers’ business processes and competitive positions. Through close cooperation, it strives for the improvement of their operational activities and the expansion of their logistical achievements. Vanderlande’s extensive portfolio of integrated solutions – innovative systems, intelligent software and life-cycle services – results in the realisation of fast, reliable and efficient automation technology. Established in 1949, Vanderlande has more than 7,500 employees, all committed to moving its customers’ businesses forward at diverse locations on every continent. With a consistently increasing turnover of 1.8 billion euros, it has established a global reputation over the past seven decades as a highly reliable partner for future-proof logistic process automation. Vanderlande was acquired in 2017 by Toyota Industries Corporation, which will help it to continue its sustainable profitable growth. The two companies have a strong strategic match, and the synergies include cross-selling, product innovations, and research and development.

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