Software Engineer – Connected Vehicle Apps - Stellantis - CDI
Fonction : Non définie
Lieu : Non défini
Publiée : 08-11-2025
Date de début : Thu, 06 Nov 2025 17:11:34 Z
Date de fin : 06 12 2025
Niveau d’expérience pour ce poste :
Rémunération comprise entre € et € par
Poste nécessitant d’avoir un Permis B : Non
Référence interne : 326177&081125
Description de l'offre
We're a small engineering team inside a global automotive company, building software that connects vehicles, drivers, and digital ecosystems. Our work spans infotainment, companion mobile apps, and backend systems linking them together, operating at large scale with millions of connected vehicles. We operate in a large-scale automotive environment — complex, global, and highly coordinated — and our mission is clear: bring modern software engineering practices and speed where they make the most impact. The Role You'll develop connected-vehicle applications and supporting infrastructure. Most of our apps use modern web technologies (HTML, JS/TS, CSS) running inside embedded webviews in the infotainment system — combining web flexibility with automotive-specific constraints. You'll deal with unique challenges: intermittent connectivity, real-time vehicle signals, diverse hardware, and strict integration requirements. Your work will span every layer — vehicle electronics (CAN, Automotive Ethernet, LIN), APIs, cloud systems, deployment monitoring, and developer tooling. You'll take features end-to-end: design, implementation, deployment, and customer impact analysis. What You'll Do • Design, build, and deploy connected-vehicle features across embedded, web, and cloud layers. • Integrate vehicle data and signals into interactive experiences. • Monitor deployments and ensure software reliability in production. • Debug and tune software across OS, network, and browser layers. • Improve CI/CD pipelines, Git workflows, and developer infrastructure. • Collaborate with the team through pair programming, code reviews, and structured async communication. • Experiment with AI-assisted development tools to improve productivity and reliability. • Take end-to-end responsibility for features — from design to observing real-world usage and impact. • Contribute to the team culture — helping each other, sharing knowledge, and solving problems together.
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