Software Engineer

TXT e-Tech, a company of the TXT Group, is looking for a candidate for a Master’s thesis focused on the research, design, implementation and validation of swarming, formation and multi-agent coordination algorithms within a proprietary product.

The project is part of TXT’s modular cloud-based platform for the simulation of unmanned systems (UAV, UGV, USV, eVTOL), which integrates the entire UxV operational lifecycle: mission design, planning, real-time simulation (C++ core), and KPI-based debriefing within a single environment.

The candidate will contribute to the evolution of the Autonomy & Guidance Layer and the Swarming & Teaming Behaviour Engine (currently TRL 3), working on:

• Formation control (leader–follower, virtual structure)
• Decentralized swarming based on swarm intelligence
• Cooperative task allocation for heterogeneous fleets

Main responsibilities

• Literature review on state‑of‑the‑art formation, swarming and coordination algorithms for UxV systems
• Algorithm design and formalisation with attention to computational efficiency and real‑time constraints
• Implementation of selected algorithms as software modules compatible with a C++ simulation core and microservices architecture
• Simulation‑based validation within a structured environment (scenario design, test campaigns, KPI evaluation)
• Documentation and thesis write‑up including analysis of results, limitations and future development directions

Required technical skills

• Fundamentals of control theory and/or multi‑agent systems
• Programming in C++
• Programming in Python
• Familiarity with simulation environments (e.g. Gazebo, MATLAB/Simulink)
• Understanding of swarm intelligence or formation control principles

Nice to have

• Experience with multi‑robot coordination or distributed algorithms
• Multi‑agent reinforcement learning
• Knowledge of MAVLink, ROS/ROS2 or drone communication protocols
• Familiarity with HLA/DIS standards for distributed simulation
• Optimisation techniques (genetic algorithms, metaheuristics, gradient‑free methods)
• Previous exposure to aerospace or defence simulation environments

Education

Bachelor’s or Master’s degree in Aerospace Engineering, Robotics, Computer Science, Control Engineering, Automation or related disciplines.

Soft skills

• Analytical thinking and problem‑solving
• Autonomy and organisational skills
• Intellectual curiosity and research aptitude
• Team collaboration
• Clear written and oral communication
• Results orientation

Ideal profile

Master’s student in Aerospace Engineering or Robotics with academic experience (project or coursework) in multi‑agent systems, distributed control or swarm intelligence, and practical programming skills in C++/Python within simulation environments.

Why Choose TXT?

• Career opportunities in a rapidly growing and profoundly changing company with young, international staff;
• Training on business‑related topics;
• Corporate Benefits (Ticket Restaurant, discounts as a group employee).
• Teamworking: Opportunity to collaborate with highly talented and passionate people in a highly professional development process;
• Hybrid work mode.

Position is open to all applicants regardless of gender, in accordance with Italian Legislative Decree 198/2006. The company promotes equal opportunities and values diversity in all its forms.