Safran.AI
Safran.AI develops geospatial AI software that analyzes satellite imagery, full-motion video, and acoustic signals to detect and classify objects for defense, intelligence, aerospace, and government users. It sells mission-ready analytics and computer-vision tools and also applies its models to industrial inspection within the Safran group. Founded in 2016 and headquartered in Paris, it became a fully owned subsidiary of Safran Electronics & Defense in 2024.
Open Positions at Safran.AI
6 open positions
Safran.AI is hiring a Senior Backend Software Engineer to contribute to applied AI solutions for complex data in defense, aerospace, intelligence, and industrial inspection. The role offers work in multidisciplinary teams focused on technically demanding, real-world challenges.
Join Safran.AI as a Site Reliability Engineer focused on cloud and infrastructure for AI solutions supporting defense, aerospace, and industrial applications. The role offers a collaborative environment within a 250-person organization and a major industrial group.
Safran.AI recherche un Solution Architect pour concevoir et présenter des architectures de solutions d’IA complexes auprès de prospects et de clients internationaux. Le poste combine avant-vente technique, architecture logicielle, intégration et collaboration étroite avec les équipes d’ingénierie, produit et déploiement.
Safran.AI is seeking a Senior Front-End Developer to design and develop high-performance, scalable user interfaces for AI products deployed in complex on-premise and cloud environments. You will serve as the front-end technical reference, shaping architecture and delivering polished user experiences with React and TypeScript.
Safran.AI is seeking an Embedded SRE to help development squads design, operate, and improve reliable cloud and hybrid infrastructure for AI products. The role combines site reliability, DevOps enablement, observability, automation, CI/CD, and incident support.
Safran.AI is seeking an MLOps Engineer to evolve and scale its AI Factory, supporting the development, deployment, monitoring, and production operation of machine and deep learning models. The role combines AI platform engineering with occasional customer deployment work in cloud and constrained on-premise environments.