Airbus Aircraft

Company Name: Airbus Aircraft
Job Title: Artificial Intelligence Robotics engineer M/F
Job Description: Job title: Artificial Intelligence Robotics Engineer Role Summary: Design, develop, test, and document embedded software for robotic systems used in aircraft production. Lead digital integration of control, perception, and communication modules within a DevOps environment. Ensure transition of technology from research to robust industrial deployment. Expectations: Deliver high‑quality, verifiable software that supports assembly, inspection, paint, and composite manufacturing workflows. Collaborate cross‑functionally with engineers, researchers, and external partners to refine system integration and maintain production uptime. Maintain rigorous documentation and evidence of verification and validation (V&V) for certification and audit purposes. Key Responsibilities: - Architect and program embedded controls, drivers, and middleware for robotic units. - Develop and execute unit, integration, and system‑level tests; maintain V&V traceability. - Integrate ROS, DDS, or similar communication stacks; implement TCP/IP or UDP protocols. - Interface with PLCs, field buses (Profinet, EtherCAT), and NVIDIA CUDA for GPU‑accelerated processing. - Produce technical documentation, test reports, and design reviews. - Liaise with academic and industrial partners for requirements, prototype validation, and technology transfer. - Participate in DevOps practices for continuous integration, configuration, and deployment across Linux/Windows platforms. Required Skills: - Proficient in C++ (core), Python (advantage). - Strong embedded systems design experience, including low‑level drivers and shared‑memory mechanisms. - Knowledge of robotic control architectures and ROS ecosystem. - Experience with PLC programming and industrial field buses. - Understanding of perception, computer vision, or AI is a plus (OpenCV, PCL, image classification). - Familiarity with Docker, CI/CD pipelines, and version control (Git). - Ability to design and conduct V&V activities, produce traceability matrices. - Excellent problem‑solving, documentation, and communication skills. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or related field. - Minimum of 3–5 years professional experience in embedded robotics software development. - Certification in C++ or embedded systems architecture is desirable.

Toulouse, France

Hybrid

08-01-2026

Company Name: Airbus Aircraft
Job Title: STC Airframe Referent Engineer F/M
Job Description: **Job Title** STC Airframe Referent Engineer (F/M) **Role Summary** Airframe Referent Engineer within the STC Solutions Programme, responsible for the engineering, documentation, and coordination of airframe and mechanical system modifications for Airbus cabin upgrade projects (A320, A330, A380, A350). Acts as the technical authority for ATA 53 activities, ensures deliverables meet schedule, cost, and quality targets, and supports quotation, certification, and in‑service support functions. **Expectations** - Deliver accurate 2D/3D airframe modification designs and associated technical data. - Maintain “On‑time / On‑Cost / On‑Quality” performance and report status to the STC Project Manager and Installation Team Leader. - Provide technical assistance to customers, internal teams, and subcontractors throughout the modification lifecycle. - Foster proactive, collaborative relationships with cross‑functional stakeholders and contribute to continuous skill development within the team. **Key Responsibilities** - Serve as the ATA‑53 reference for all STC airframe activities (structural reinforcements, new cabin element interfaces, floor‑structure changes). - Produce 3D and 2D models for airframe modifications and mechanical system installations (plates, brackets, equipment racks). - Create Technical Repercussion Sheets, Installation Instructions (Service Bulletins), and related documentation. - Offer technical support during working parties and to the quotation team. - Interface with Airbus transnational teams, STC Airworthiness Office, CVE pool, Project Management, Ordering, Kitting, Offer Management, and Quality offices. - Monitor and coordinate any engineering subcontracting activities. - Provide repair‑solution support for aircraft in service. **Required Skills** *Hard Skills* - MSc (or equivalent) in Mechanical Engineering or related discipline. - Deep expertise in airframe engineering, especially ATA 52, 53, 56. - Knowledge of CS‑25 airworthiness regulations and export‑control requirements. - Experience with aircraft modifications/upgrades (Airbus platforms preferred). - Proficiency in technical project management and CAD tools for 2D/3D modeling. *Soft Skills* - Autonomous and resource‑ful with strong analytical ability. - Adaptable, proactive, and customer‑oriented. - Excellent collaboration, synthesis, and communication/influencing skills. - Assertive leadership and effective presentation capabilities. - Commitment to personal skill growth and mentoring of teammates. **Required Education & Certifications** - Master of Science in Mechanical Engineering or equivalent. - Familiarity with CS‑25 regulatory framework (formal certification not mandatory but strongly preferred). - Relevant aerospace or airframe certification/training is a plus.

Toulouse, France

Hybrid

13-01-2026

Company Name: Airbus Aircraft
Job Title: Professionnel Intégration Systèmes Cybersécurité / Cybersecurity Systems Integration Professional
Job Description: Job title: Cybersecurity Systems Integration Professional Role summary: The Cybersecurity Systems Integration Professional leads the technical integration of avionics systems, with a focus on cybersecurity, for the Airbus A220 program. The role interfaces with systems engineering, flight test support, suppliers, and certification authorities to ensure secure, validated, and certified avionics solutions across the aircraft maintenance, navigation, communication, surveillance, cockpit, and cybersecurity domains. Expectations: - Define, analyze, and approve system security requirements and design documents. - Perform cybersecurity system integration and oversight of validation, verification, and certification activities. - Coordinate cybersecurity efforts with external suppliers and internal product teams. - Review and approve cybersecurity test reports, analysis findings, and compliance documentation. - Engage with certification authorities to support licensing and regulatory compliance. - Contribute to the investigation and resolution of cybersecurity incidents. - Support global travel and on‑call availability during weekends or holidays as needed. Key responsibilities: 1. Define security requirements, review designs, and approve security scope for system integration. 2. Execute integration of cybersecurity components in avionics systems. 3. Manage design review, validation, verification, and certification processes in coordination with integrated product teams. 4. Coordinate cybersecurity activities and documentation with suppliers. 5. Analyze test and security analysis reports; approve verification, validation, and compliance reports. 6. Support discussions with regulatory and certification authorities. 7. Participate in cybersecurity incident resolution and post‑incident reviews. Required skills: - Minimum 5 years of experience in systems integration. - Strong understanding of aviation networking and avionics. - Familiarity with aviation cybersecurity processes and standards DO‑326, DO‑355, DO‑356. - Knowledge of RTCA DO‑178, DO‑254, and DO‑160. - Experience with engineering change management. - Basic understanding of aircraft systems regulation. - Excellent collaboration and communication skills across multidisciplinary teams. Required education & certifications: - Bachelor’s degree in Electrical Engineering, Electronics, Mechanical Engineering, Software Engineering, Aerospace Engineering, or an equivalent discipline. - Knowledge of DO‑178, DO‑254, DO‑160, DO‑326, DO‑355, DO‑356 is required; formal certifications in these standards are a plus but not mandatory.

Montreal, Canada

On site

Mid level

14-01-2026

Company Name: Airbus Aircraft
Job Title: Data Scientist / Artificial Intelligence Engineer (m/f)
Job Description: Job Title: Data Scientist / Artificial Intelligence Engineer Role Summary: Develop AI and data‑science solutions for embedded aircraft systems, primarily supporting computer‑vision applications in cockpit environments. Drive end‑to‑end solutions from analytics to production, collaborating with engineering, R&T, and IT stakeholders to deliver value‑add services for aircraft design and maintenance. Expectations: - Design and prototype advanced AI models (ML, DL, computer vision). - Translate research into robust, industrialized services ready for deployment. - Communicate findings and progress clearly and influence cross‑functional teams. - Mentor peers and promote data‑driven, agile practices across the organization. Key Responsibilities: 1. Create and validate machine‑learning pipelines for embedded cockpit systems. 2. Integrate computer‑vision solutions into aircraft data‑management workflows. 3. Collaborate with hardware/software engineers to assess feasibility and performance. 4. Develop scalable data‑science services using Python, PySpark, and NoSQL databases. 5. Optimize models for real‑time inference on constrained devices. 6. Document methodology, results, and operational guidelines for production teams. 7. Participate in strategy sessions to shape AI capabilities for aircraft systems and services. 8. Coach stakeholders and students in AI best practices and agile workflows. Required Skills: - Advanced proficiency in supervised, unsupervised, and reinforcement learning algorithms. - Strong experience with computer‑vision techniques (object detection, segmentation, tracking). - Programming in Python; familiarity with PySpark, Linux shell scripting, and NoSQL databases. - Knowledge of model deployment, containerization, and versioning tools (Docker, MLflow, etc.). - Ability to work with large, structured and unstructured aviation data streams. - Excellent written and verbal communication, teamwork, and customer‑centric mindset. Required Education & Certifications: - Master’s degree or equivalent in Data Science, Artificial Intelligence, Computer Engineering, or a closely related field. - 2–5 years of professional experience in developing ML/DL solutions, preferably within computer‑vision or embedded systems domain. - Understanding of industrial software development practices and production‑grade deployment is a plus.

Toulouse, France

Hybrid

Junior

16-01-2026

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