Senior AI Engineer for the Infotainment Platform

Senior AI Engineer for the Infotainment Platform

BMW Group

Munich, Germany

What awaits you?

• You design and own end-to-end AI and data architectures – from data ingestion and feature pipelines to model deployment and monitoring – with a strong focus on production-grade edge AI inside the vehicle.
• Furthermore, you build scalable platform architectures that serve multiple feature teams across the Android ecosystem (e.g. digital cockpits, infotainment features), enabling them to deliver AI-powered customer experiences reliably and at scale.
• You provide technical leadership for Android Automotive and its ecosystem, ensuring that AI platform decisions align with Android evolution, AOSP constraints, and long-term platform scalability.
• In addition, you define and evolve clear interfaces between AI platforms, Android infotainment, and application development – staying compatible with new Android versions while keeping the AI infrastructure adaptable and future-proof.
• You translate emerging AI requirements into production-ready platform capabilities, bridging applied research, platform engineering, and product needs.
• You continuously drive the AI strategy for infotainment platforms, tracking key technology trends (e.g. on-device LLMs/VLMs, multimodal interaction, agentic AI) and collaborating with leading external technology partners.

What should you bring along?

• Master’s or PhD in Computer Science, AI, Machine Learning, Data Science, or a related field, with hands-on experience in AI and data architecture beyond prototypes.
• In-depth knowledge of Android (AOSP/Android Automotive) as a production platform, including its constraints and evolution.
• Strong experience with AI architecture onboard and offboard, as well as implementation of Small Language Models, Vision Language Models, or autonomous driving models.
• Knowledge of multi-agent systems orchestration, multi-turn dialogues, and related open standards (e.g., A2A, MCP).
• Experience with AI training toolchains and workflows including pruning, fine-tuning, and multimodal encoding.
• Proficiency in Rust, C++, Kotlin, and modern, API-driven system architectures.
• Proven technical leadership experience in agile, cross-functional teams.