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Computer Vision System Engineer

Pubblicato il 11-10-2026 - TXT GROUP in Nerviano

TXT e-Tech, a company within the TXT Group, is seeking an AI & Systems Engineer to join its Aerospace & Aviation Business Unit.

La preghiamo di leggere attentamente la panoramica e i requisiti per questa occasione di lavoro riportati di seguito.
The selected candidate will be involved in the study, development, and integration of algorithms for avionics systems, working within a multidisciplinary team focused on Artificial Intelligence, Modeling, Simulation, and Performance Analysis.

The initial activities will focus on the integration of Reinforcement Learning (RL) agents, already developed and trained in Python, into MATLAB/Simulink simulation environments. Depending on project needs, the role may also include Computer Vision and Image Processing activities, leveraging both traditional and AI-based approaches for object detection and tracking from infrared imagery.

Key Responsibilities:

-
- Integrate Reinforcement Learning agents and trained models into MATLAB/Simulink simulation environments.




- Conduct testing and validation activities to assess agent behavior and compare performance across different simulation scenarios.
- Contribute to the enhancement, training, and optimization of existing algorithms and solutions.
- Participate, according to project requirements, in the development of image processing, object recognition, and target tracking algorithms using both classical and AI-driven techniques.
- Develop software tools for test execution, data analysis, and performance evaluation.
- Collaborate with the team on interface definition, system integration activities, and the preparation of technical documentation.

Required Technical Skills:

-
- Solid mathematical foundation, including knowledge of statistics and data analysis.
- Programming skills and proficiency in Python for algorithm development and experimentation.
- Academic, personal, or professional experience in at least one of the following areas: Reinforcement Learning, or Computer Vision an

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