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Thales

Thales

www.thalesgroup.com

13 Jobs

71,394 Employees

About the Company

Thales (Euronext Paris: HO) is a global leader in advanced technologies specialized in three business domains: Defence & Security, Aeronautics & Space, and Cybersecurity & Digital identity. It develops products and solutions that help make the world safer, greener and more inclusive.

The Group invests close to EUR4 billion a year in Research & Development, particularly in key innovation areas such as AI, cybersecurity, quantum technologies, cloud technologies and 6G.

Thales has close to 81,000 employees in 68 countries. In 2023, the Group generated sales of EUR18.4 billion.

Listed Jobs

Company background Company brand
Company Name
Thales
Job Title
Software Engineer
Job Description
Job title: Real‑time Embedded Software Engineer Role Summary: Design, develop, integrate, and test real‑time embedded software for military and aerospace systems. Work across the full software development lifecycle on processor‑driven boards using RTOS platforms (VxWorks, FreeRTOS, Linux, MicroC/OS) and C/C++. Expectations: - Deliver high‑quality, safety‑critical embedded code on schedule. - Collaborate with hardware, systems, and test teams to resolve integration issues. - Maintain traceability of requirements and design artifacts. - Adhere to industry best practices for safety, security, and configuration management. Key Responsibilities: - Architect and implement real‑time software modules in C/C++. - Integrate and debug on target hardware, addressing hardware‑software interface challenges. - Conduct unit, integration, and system testing; manage test plans and results. - Produce and maintain design documentation, test plans, and release notes. - Participate in Agile/Scrum activities, sprint planning, and retrospectives. - Contribute to reusable component libraries and coding standards. - Support configuration control, versioning, and change management. Required Skills: - Strong knowledge of embedded real‑time development and RTOS behavior. - Proficient in procedural C and object‑oriented C++ for embedded systems. - Experience with hardware communication protocols (e.g., 1553, RS‑422) and networking basics. - Practical debugging and integration on target hardware. - Understanding of software testing principles and methodologies. - Familiarity with version control (Git, SVN) and change‑control processes. Required Education & Certifications: - Bachelor’s degree (BEng/BSc Hons) in Computer Science, Electrical Engineering, or related field, or equivalent experience. - Optional: Degree in Microelectronics, Software Engineering, or similar disciplines.
Belfast, United kingdom
Hybrid
09-03-2026
Company background Company brand
Company Name
Thales
Job Title
Stage Data & AI Engineer – Programme Zenith F/H
Job Description
Job title Stage Data & AI Engineer – Programme Zenith (F/H) Role Summary Internship in data engineering and artificial intelligence supporting Thales’ digital transformation program Zenith. Engage in modernizing business processes, structuring enterprise data, and enabling a new SAP S/4 ERP implementation. Expactations - Deliver end‑to‑end data solutions during the internship period. - Collaborate with cross‑functional teams to define data requirements and AI use cases. - Contribute to the development and continuous improvement of data pipelines and AI models. Key Responsibilities - Design and implement scalable data pipelines (extract, transform, load). - Perform data quality checks, validation, and enrichment tasks. - Support data integration with the new SAP S/4 ERP system. - Work with data scientists to prototype, train, and deploy AI/ML models. - Assist in establishing data governance and metadata management practices. - Document data flows, models, and testing procedures. Required Skills - Programming: Python, SQL (and familiarity with data manipulation libraries such as pandas, PySpark). - Data engineering concepts: ETL design, data modeling, pipeline orchestration (Airflow, Prefect, or similar). - Basic knowledge of AI/ML workflows and libraries (scikit‑learn, TensorFlow, PyTorch). - Experience with cloud platforms (AWS, Azure, GCP) or on‑prem data environments. - Strong analytical and problem‑solving skills. - Good communication and ability to work in agile teams. Required Education & Certifications - Current student or recent graduate (≤2 years post‑degree) in Computer Science, Information Systems, Data Engineering, Applied Mathematics, or related discipline. - Certifications in SQL, Python, or cloud data services (e.g., AWS Certified Data Analytics – Specialty, Azure Data Engineer Associate). - Knowledge of SAP S/4 (preferred but not mandatory).
Meudon, France
Hybrid
09-03-2026
Company background Company brand
Company Name
Thales
Job Title
STAGE - Ingénieur DevOps/Cloud - F/H
Job Description
**Intern - DevOps/Cloud Engineer** **Role Summary**: Supports critical DevOps and Cloud projects in a technology sector leader, focusing on availability, performance, and security. **Expectations**: 6-month internship; Bac+5 (Engineering/Computer Science) required. Technical proficiency in DevOps and Cloud tools. **Key Responsibilities**: - Deploy and configure systems on Cloud platforms. - Automate CI/CD pipelines using tools like Terraform and Docker. - Implement and maintain containerization (e.g., Kubernetes). - Monitor and optimize system performance and security. **Required Skills**: - DevOps methodologies (CI/CD, automation). - Cloud computing (AWS/GCP/Azure). - Container orchestration (Kubernetes). - Infrastructure-as-Code (Terraform). - Scripting (Python/Shell/PowerShell). **Required Education & Certifications**: Bachelor’s/Master’s in Engineering or Computer Science; no specific certifications mentioned.
Valbonne, France
Hybrid
10-03-2026
Company background Company brand
Company Name
Thales
Job Title
Senior Software Engineer (AppSec/Cyber)
Job Description
**Job Title** Senior Software Engineer (AppSec/Cyber) **Role Summary** Lead the development of cloud‑native SaaS solutions for account takeover and client‑side protection. Own the full technology stack—from infrastructure, data pipelines, and statistical/ML models to front‑end—designing scalable, near real‑time services that safeguard millions of users worldwide. **Expectations** - Deliver end‑to‑end ownership of projects, from concept through production. - Build highly scalable, reliable AWS‑based microservices and data pipelines. - Translate research insights into production‑grade algorithms, models, and UI components. - Resolve algorithmic, scalability, reliability, and performance challenges. - Maintain code quality, CI/CD pipelines, and documentation. **Key Responsibilities** - Architect and implement end‑to‑end data pipelines and event processing workflows. - Design and deploy distributed SQL/NoSQL analytics and storage solutions. - Develop, train, and tune statistical/Machine‑Learning models for anomaly detection. - Optimize system performance, latency, and resource utilization in a distributed environment. - Collaborate with product, data science, security, and operations teams to ensure alignment and customer value. - Conduct code reviews, mentor junior engineers, and enforce best coding practices. **Required Skills** - 5+ years programming in Java, JavaScript, Python, or Rust. - Strong foundation in algorithms, data structures, and object‑oriented design. - Experience building AWS‑based microservices, event‑driven architectures, and CI/CD pipelines. - Proficiency in distributed data systems (e.g., DynamoDB, Spanner, BigQuery, Snowflake). - Hands‑on experience with statistical analysis and ML frameworks (scikit‑learn, TensorFlow, PyTorch). - Ability to profile and optimize system performance; familiarity with observability tools. - Excellent communication, problem‑solving, and collaborative skills. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience. - Optional: AWS Certified Solutions Architect, Certified Data Scientist, or analogous security certifications.
Vancouver, Canada
Hybrid
Senior
11-03-2026