Deployment Engineer – TaxiBot; Internship

Based in Amsterdam Schiphol Airport, Netherlands

ENG OFF

Intership

Taxi Bot

Based on candidate's profile

Amsterdam Schiphol Airport, Netherlands

• Internship allowance:
  Based on candidate's profile
• Duration: 6 months
• Location:
  
  Amsterdam Schiphol Airport, Netherlands
• Work environment:
  On-site, international airport operations
• Starting date: Q1 2027 (To be agreed)
• International exposure:
  Direct collaboration with airports, airlines and technical teams

Smart Airport Systems (SAS), part of the ALVEST Group, develops innovative solutions to make airport operations cleaner, quieter and more efficient.

Our Taxi Bot solution enables aircraft to taxi with their main engines switched off, significantly reducing fuel consumption, emissions and noise.

As part of our ongoing Taxi Bot deployment at Amsterdam Airport Schiphol, we are looking for a motivated Deployment Engineer Intern to join our on-site project team.

Working in a dynamic international airport environment, you will contribute to the operational integration, performance optimization and scale-up of Taxi Bot operations, collaborating directly with airport authorities, airlines and operational stakeholders.

• Support the daily coordination, monitoring and optimization of Taxi Bot operations at Amsterdam Schiphol.
• Participate in operational planning and deployment activities.
• Contribute to the development and continuous improvement of operational procedures (CONOPS).
• Support the preparation and execution of operational trials, demonstrations and validation activities.

• Analyze operational performance, mission cycle times, fuel savings and reliability indicators.
• Use Taxi View and other operational data sources to monitor missions and identify improvement opportunities.
• Develop and maintain operational dashboards, KPIs and project reporting tools.
• Support data-driven recommendations to improve operational efficiency.

• Work with airport authorities, airlines, ground handlers and technical teams.
• Participate in technical and operational coordination meetings.
• Support the identification and resolution of operational constraints.
• Contribute to deployment planning, project follow-up and preparation of management presentations.
• Identify opportunities to increase Taxi Bot utilization and operational efficiency.
• Support the analysis of aircraft turnaround constraints, tug routing and resource allocation.

• Final-year engineering student (Master’s level / M2) specializing in Aeronautics, Industrial Engineering, Transportation, Systems Engineering or a related field.
• Strong interest in aviation, airport operations and sustainable technologies.
• Excellent analytical, organizational and communication skills.
• Comfortable working in a fast-paced, multicultural operational environment.
• Proficiency in Excel; knowledge of Python, Power BI or data analysis tools would be an advantage.
• Professional proficiency in English;
  French would be an advantage.
• Proactive, autonomous, adaptable and motivated to work directly alongside operational teams.

• Experience a major international airport from the inside.
• Participate in the deployment of a pioneering sustainable aviation technology.
• Collaborate directly with international airlines, airport authorities and engineering teams.
• Gain hands-on experience combining engineering, data analysis and operational project management.
• Play an active role in the transformation of aviation ground operations.