Computer Vision System Engineer

TXT e-Tech , a company of the TXT Group , is looking for a Computer Vision Systems Engineer to join its Aerospace & Aviation Business Unit .

The selected candidate will be involved in the study, design, and development of algorithms and functionalities for avionics systems, with a particular focus on image processing, object recognition, and target tracking.

Working within a multidisciplinary team, the candidate will contribute to algorithm development, modeling, simulation, and the application of Artificial Intelligence and Computer Vision techniques. The role will also involve the integration and verification of developed solutions, with a focus on the relationship between sensor data, algorithms, and overall system performance.

Key Responsibilities:

• Participate in the analysis of system functionalities and the definition of related algorithmic solutions.
• Design, develop, and verify target tracking algorithms for estimating the motion of objects detected by sensors and maintaining their tracks over time.
• Use and validate models and simulation environments, including the generation of infrared imagery.
• Develop software tools for the preparation and management of annotated image datasets for Computer Vision applications.
• Develop methods and tools for performance evaluation and reliability estimation of neural networks based on input data.
• Integrate tools and algorithms into simulation environments, execute tests, and analyze results.
• Collaborate with the project team and prepare technical documentation for developed solutions and verification activities.

Required Skills:

• Strong mathematical foundation with basic knowledge of statistics and data analysis.
• Programming skills and knowledge of Python or MATLAB/Simulink, gained through academic, personal, or professional projects.
• Understanding of Machine Learning principles and neural networks, acquired through coursework, thesis work, or research activities.
• Good command of written and spoken English.

Preferred Skills:

• Familiarity with Computer Vision, image processing, or dataset preparation.
• Knowledge of Deep Learning frameworks such as PyTorch or TensorFlow.
• Academic or practical knowledge of estimation and filtering techniques, such as the Kalman Filter, and their applications in target tracking.
• Familiarity with modeling and simulation tools such as MATLAB and Simulink.
• Basic knowledge of optics, sensors, or infrared imaging.
• Knowledge of C/C++ and/or the Linux environment.

Education:

• Bachelor's or Master's Degree in a STEM field (Engineering, Computer Science, Data Science, Physics, Mathematics).

Soft Skills: The ideal candidate is curious, proactive, and comfortable working in a team environment. They are interested in understanding how complex systems operate and in translating technical challenges into practical solutions. They approach tasks with accuracy and a structured mindset and can effectively organize their work to meet agreed objectives and deadlines.

What We Offer:

• Career growth opportunities within a fast-growing and evolving company operating in an international and dynamic environment.
• Continuous and structured training programs, both technical and transversal, tailored to project needs. Development plans are personalized together with managers based on individual skills, interests, and career aspirations.
• Corporate benefits, including health insurance, welfare programs, meal vouchers, and employee discounts available within the Group.
• Team-building initiatives aimed at fostering collaboration, team cohesion, and a positive work environment.
• Annual gross salary ranging between €28,000 and €34,000.
• Employment level and contractual framework will be defined during the selection process based on the candidate's profile and in accordance with the Italian Metalworkers' Collective Labor Agreement (CCNL Metalmeccanico).

Location: Nerviano (Milan), Italy

This position is open to all candidates regardless of gender, in compliance with Italian Legislative Decree 198/2006. TXT e-Tech promotes equal opportunities and values diversity in all its forms.