Job
- Level
- Senior
- Job Field
- Data, Application
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Onsite
Job Summary
In this role, you design end-to-end AI architectures and develop robust inference solutions for Android-based infotainment systems while taking on agile technical leadership.
Job Technologies
Your role in the team
- We collaborate with experienced AI architects and engineers to build and evolve AI platform architecture, powering Android-based infotainment and large-scale vehicle software systems.
- Our focus is on delivering scalable, production-grade solutions that drive innovation in automotive technology.
- 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.
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Our expectations of you
Qualifications
- In-depth knowledge of Android (AOSP / Android Automotive) as a production platform, including its constraints and evolution.
- Knowledge of multi-agent systems orchestration, multi-turn dialogues, and related open standards (e.g., A2A, MCP).
- Proficiency in Rust, C++, Kotlin, and modern, API-driven system architectures.
Experience
- 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.
- Strong experience with AI architecture onboard and offboard, as well as implementation of Small Language Models, Vision Language Models, or autonomous driving models.
- Experience with AI training toolchains and workflows including pruning, fine-tuning, and multimodal encoding.
- Proven technical leadership experience in agile, cross-functional teams.
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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-based 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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Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
BMW AG
Our world-leading premium automotive brands BMW, MINI, Rolls-Royce and our motorcycles, along with our comprehensive range of high-quality financial and mobility services make us a unique provider.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Vehicle Manufacturing, Supplier, Industry, Production
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(2 Reviews)3.1
Career Growth
3.1Engineering
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