Telespazio

About the Company

Telespazio works to bring Space closer to Earth, benefitting citizens, institutions and companies in a variety of sectors ranging from design and development of space systems to management of launch services and in orbit satellite control; from Earth observation to integrated satellite communication, navigation and localisation services, and through to scientific programmes. Its open innovation approach, together with the cross-contamination of different operational domains and a constant focus on issues of environmental sustainability, allow Telespazio to operate in sectors that will become increasingly important in the years to come: from communication and positioning services for the Moon to management and monitoring of satellites and other orbiting objects (Space Domain Awareness), and creation of advanced in orbit services and satellite operation of drones and unmanned vehicles. Moreover, using innovations such as artificial intelligence and machine learning to process big data from satellites, Telespazio is in the front lines of development of space applications capable of improving people's lives on our planet and helping to win the great challenges of our times, such as the effects of climate change. Telespazio is a joint venture between Leonardo (67%) and Thales (33%) and one of the world's biggest suppliers of satellite solutions and services. The company teams up with Thales Alenia Space to form the parent companies' Space Alliance, a strategic partnership which offers a complete range of space services.

Founded in Italy in 1961, Telespazio is based in Rome and counts more than 3000 employees through its various subsidiaries and joint ventures.

Listed Jobs

Company Name

Telespazio

Job Title

Open Job Application - Belgium

Job Description

Job title: Space Operations & Engineering – Belgium Role Summary: Provide engineering and operational support for European Space Agency missions, bridging ground infrastructure to space operations. Expectations: Demonstrated experience or strong interest in space operations, systems engineering, or mission support within a European space context. Key Responsibilities: Assist in designing, testing, and maintaining space systems and operations; collaborate with cross‑functional teams to ensure mission success; contribute to project planning and implementation. Required Skills: Knowledge of space system engineering principles, mission operations, data analysis, and troubleshooting; teamwork and communication; problem‑solving in high‑availability environments. Required Education & Certifications: Bachelor’s degree (or equivalent) in Aerospace Engineering, Electrical Engineering, Mechanical Engineering, or related field; additional certifications in space operations or avionics preferred.

Bastogne, Belgium

On site

01-12-2025

Company Name

Telespazio

Job Title

Ingénieur Cybersécurité Senior (F/H)

Job Description

**Job Title:** Senior Cybersecurity Engineer (F/M) **Role Summary:** Provide real‑time and off‑time security operations for the European Union space program (Galileo, PRS, etc.). Collaborate with the Security Operations Management team to develop operational tools, support external stakeholders, conduct exercises, and drive continuous improvement. **Expectations:** - Deliver expert security support for EU space projects within an international environment. - Contribute to the evolution of the program’s operational security vision. - Work independently with high initiative, adapting to shifting priorities and tight deadlines. **Key Responsibilities:** - Assist operational analysts in managing security incidents for Galileo, PRS, and related systems. - Develop and deploy operational security tools and enhancements. - Participate in reporting, deliverable creation, and post‑exercise analysis. - Plan and run security exercises with internal and external partners. - Foster collaboration across the SOM department to integrate security improvements. **Required Skills:** - Proficiency in ISO 27000 series, vulnerability management, threat intelligence, and incident response. - Strong analytical and prioritization abilities. - Excellent communication and teamwork skills. - Proactive, autonomous, adaptable, and eager to learn. - English fluency (B2 or higher). **Required Education & Certifications:** - Engineer degree (Master/PhD) in Cybersecurity, Computer Science, Aerospace, or RF engineering. - Minimum 10 years of cybersecurity operations experience, preferably in the space industry and an international context. - Certifications preferred: CYSA+, GCIH, CISSP.

St.-germain-en-laye, France

On site

Senior

15-12-2025

Company Name

Telespazio

Job Title

Stage – Réalisation d’une solution embarquée d’analyse image basée intelligence artificielle

Job Description

**Job Title** Embedded AI Image Analysis Solution Intern (6 months) **Role Summary** Develop a prototype for analysing satellite or drone imagery on an embedded module using AI/ML techniques. The internship focuses on selecting suitable hardware acceleration, adapting or migrating existing algorithms, and validating performance on a Linux‑based platform. **Expectations** - Open to first‑year postgraduate students or recent graduates with academic projects in AI or computer vision. - Ability to work autonomously, communicate effectively, and collaborate within a technical team. **Key Responsibilities** - Review current literature, existing modules, and algorithms in image analysis. - Choose and implement the most appropriate method for the selected embedded system, leveraging available hardware acceleration. - Design, develop, and integrate prototype components in Python on Linux. - Deploy the prototype on a demonstration platform. - Evaluate algorithmic performance, accuracy, and relevance. - Produce technical documentation and present findings. **Required Skills** - Python programming proficiency. - Strong foundation in Machine Learning, Deep Learning, and Computer Vision. - Experience with AI frameworks (e.g., TensorFlow, PyTorch) and an understanding of hardware acceleration (GPU, FPGA, or embedded AI chips). - Analytical mindset and eagerness to explore new technologies. **Required Education & Certifications** - Master’s (M2) level or enrollment in an engineering school (engineering program). - No specific certifications required.

Toulouse, France

On site

17-12-2025

Company Name

Telespazio

Job Title

Stage Ingénieur DevOps - Unification de formats de logs assistée par l'IA

Job Description

Job Title: DevOps Engineer Internship – AI‑Assisted Log Format Unification Role Summary: An entry‑level internship within a DevOps team focused on designing, building, and validating a scalable, AI‑driven solution for collecting, normalizing, and analyzing logs from diverse sources (system, network, application, container). The role combines architecture design, scripting, machine‑learning model development, and prototype testing to streamline log ingestion for SIEM or analytics platforms. Expectations: - Enrolled in the final year of a Computer Engineering, Software Engineering, or related master’s program (Bac+5). - Self‑motivated, autonomous, and meticulous in execution. - Strong analytical and synthesis skills. - Interest in complex systems, security, and emerging technologies. Key Responsibilities: 1. **Log Analysis & Requirements** – Identify and classify existing log types (system, network, application, container); define a generic target format. 2. **Architecture Design** – Create a resilient, scalable log collection framework; design connector and API layers for forwarding to analytics solutions (SIEM, Loki, or equivalent). 3. **AI/ML Development** – Build a transformation engine in Python that classifies and normalizes logs; train models on varied formats and implement continuous learning loops for new sources. 4. **Prototype Implementation** – Develop a functional prototype and validate it against multiple log origins; document architecture and code. 5. **Testing & Documentation** – Produce test cases, run validation scenarios, and maintain clear technical documentation. Required Skills: - Python programming (advanced). - Knowledge of AI/ML concepts and libraries (e.g., scikit‑learn, TensorFlow, PyTorch). - Experience with containerization (OCI, Docker, Kubernetes). - Proficiency with APIs and structured data formats (JSON, XML, YAML). - Familiarity with SIEM or log aggregation platforms (e.g., Loki, ELK stack). - Strong analytical and problem‑solving abilities. Required Education & Certifications: - Current enrollment in a Master’s‑level curriculum in Computer Science, Software Engineering, or equivalent; expected graduation in 2026 (Bac+5). - No mandatory certifications required, but knowledge of cloud or DevOps tools (e.g., Git, CI/CD pipelines) is a plus.

Toulouse, France

On site

19-01-2026