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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