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Principal embedded systems tester

Trieste
beBee Careers
Pubblicato il 15 giugno
Descrizione

Avionics Engineer Role

We are seeking a highly skilled and motivated Avionics Engineer to join our team in Turin. As an Avionics Engineer, you will play a crucial role in designing, validating, and certifying complex onboard systems for aircraft and space applications.

Key Responsibilities:

* Developing and executing automated test procedures based on software and system requirements.
* Using specialized tools or programming languages to define test sequences.
* Configuring test environments and hardware setups (target platforms).
* Supporting validation campaigns and system integration activities.
* Participating in certification reviews, technical meetings, and reporting sessions.
* Interfacing with software developers, system engineers, and project stakeholders to ensure requirements coverage and compliance.
* Contributing to the continuous improvement of testing strategies and engineering workflow.

Requirements:

* Bachelor's or Master's Degree in Aerospace Engineering, Electronics, Telecommunications, Computer Science, or related STEM field.
* Basic understanding of embedded systems and software testing principles.
* Proficiency in English (written and spoken).
* Passion for the aerospace and aviation industries.
* Strong team spirit and adaptability in a client-facing environment.

Benefits:

* Join an international team that is passionate about innovation in space systems.
* Work from our Turin hub, located in the heart of Italy's aerospace district.
* Flexible working hours and real ownership over your projects.
* Training and growth opportunities in systems engineering, procurement, and technical leadership.

About Us:

We specialize in Software Quality Assurance (SQA) for embedded systems and digital products. Our mission is to develop advanced validation and testing solutions tailored to the electronics and mechatronics sectors, supporting key markets across various industries.

Our QA solutions leverage state-of-the-art technologies, integrating Artificial Intelligence techniques such as Machine Learning, Computer Vision, and Neural Networks, while also designing custom Generative AI algorithms to meet the specific needs of complex, software-driven systems.

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