Aerospace/Avionics Engineer

Buscojobs; Trentino-Alto Adige; In loco; EUR 30.000 - 50.000; Tempo pieno

Descrizione del lavoro

Join a leading aerospace company as an Avionics Engineer in the heart of Italy’s aerospace district. This role offers the chance to innovate and grow within a dynamic team, specializing in cutting-edge technologies in the aerospace and aviation sectors. Elevate your career in a supportive environment with opportunities for training and project ownership.

Servizi

Flexible working hours

Training and growth opportunities

Competenze

• Degree in Aerospace Engineering or related STEM field.
• Basics in embedded systems and software testing.
• Fluency in English required.

Mansioni

• Designing and certifying onboard systems for aircraft.
• Developing automated test procedures.
• Interfacing with project stakeholders for compliance.

Conoscenze

Collaborative mindset

Adaptability

Problem-solving

Formazione

Bachelor’s or Master’s Degree in Aerospace Engineering, Electronics, Telecommunications, Computer Science

Strumenti

MATLAB/Simulink

LabVIEW

Python

Descrizione del lavoro

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Concept Quality Reply is looking for enthusiastic and driven graduates to join our growing Aerospace & Defence team as Avionics Engineers in Turin.

If you're passionate about technology, aviation, and problem-solving, and you're eager to grow in a dynamic and innovative consulting environment, this is your opportunity to launch your career in one of the most exciting fields in engineering.

Key Responsibilities:

As an Avionics Engineer, you will support designing, validating, and certifying complex onboard systems for aircraft and space applications. Working closely with senior engineers and development teams, your responsibilities will include:

• 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

What we’re looking for:

We're looking for curious minds with a solid technical foundation and a collaborative mindset. You don’t need to be an avionics expert yet – we’ll help you get there.

Must-have:

• 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

Nice-to-have:

• Familiarity with avionics standards (e.g., DO-178C) or certification processes
• Experience with scripting or programming (Python, C/C++, or similar)
• Knowledge of tools such as MATLAB/Simulink, LabVIEW, or test automation frameworks

Why You’ll Love It Here:

• Join an international team that’s 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.

Who we are:

Concept Quality is a company within the Reply Group that specializes 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 the Reply ecosystem: Automotive & Mobility, Industrial Automation, IoT, Energy, Telco, Retail, and Fintech.

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.