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Senior AI Engineer for the Infotainment Platform

Germany, Munich · Job Posted May 04, 2026
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Job Description

With our team you collaborate with experienced AI architects and engineers to build and evolve AI platform architecture, powering Android-based infotainment and large-scale vehicle software systems.

Job Responsibility

  • 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
  • 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
  • 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
  • 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
  • Translate emerging AI requirements into production-ready platform capabilities, bridging applied research, platform engineering, and product needs
  • 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

Requirements

  • 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

What we offer

  • Challenging projects with which we are shaping the mobility of tomorrow together
  • Wide range of personal and professional development opportunities
  • Attractive, fair and performance-related remuneration
  • High level of job security
  • Annual special payments such as vacation pay, Christmas bonus, and profit sharing
  • Flexible working hours including 6 weeks annual leave and overtime compensation
  • Discounted BMW & MINI conditions

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