Aerospace / Avionics Engineer

Concept Quality Reply; Biella; In loco; EUR 30.000 - 45.000; Tempo pieno

Descrizione del lavoro

A leading company in the aerospace sector seeks enthusiastic graduates for the Avionics Engineer role in Turin. The position offers hands-on experience with embedded systems and software testing. With training and growth opportunities, this role allows you to make an impact in an innovative environment while working alongside experienced professionals.

Servizi

Flexible working hours

Training and growth opportunities

Ownership over projects

Competenze

• Knowledge of avionics standards like DO-178C is a plus.
• Experience with tools such as test automation frameworks is a plus.
• Passion for aerospace and aviation industries.

Mansioni

• Support designing, validating, and certifying complex onboard systems.
• Develop and execute automated test procedures.
• Interface with software developers and project stakeholders.

Conoscenze

Basic understanding of embedded systems

Software testing principles

Team spirit

Adaptability

Proficiency in English

Formazione

Bachelor’s or Master’s Degree in Electronics, Telecommunications, Computer Science or related STEM field

Strumenti

Python

C / C++

MATLAB / Simulink

LabVIEW

Descrizione del lavoro

is looking for enthusiastic and driven graduates to join our growing

Aerospace & Defence team

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
• 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 seeking 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 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 passionate about innovation in space systems. Work from our Turin hub, located in Italy’s aerospace district. Enjoy flexible working hours and ownership over your projects, with training and growth opportunities in systems engineering, procurement, and technical leadership.

Who we are: Concept Quality

is a company within the Reply Group specializing in Software Quality Assurance (SQA) for embedded systems and digital products. Our mission is to develop advanced validation and testing solutions tailored to electronics and mechatronics sectors, supporting markets across the Reply ecosystem: Automotive & Mobility, Industrial Automation, IoT, Energy, Telco, Retail, and Fintech. Our QA solutions leverage state-of-the-art technologies, including Artificial Intelligence techniques such as Machine Learning, Computer Vision, and Neural Networks, and custom Generative AI algorithms for complex, software-driven systems.