Senior AI Engineer for the Infotainment Platform (f/m/x)

INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN. 

At the BMW Group, everything starts with passion. It turns a profession into a vocation. It drives us to keep reinventing mobility and bring innovative ideas onto the roads. Enthusiasm for joint projects turns a team into a strong unit where every opinion is valued. It is only when expertise, highly professional processes and enjoyment of work unite that we can shape the future together. 

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.

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.

If you are passionate about scalable AI platforms, edge computing, and real-world impact? Apply now!

Find out more about Artificial Intelligence at the BMW Group here.

Note: Please apply exclusively online via our career portal. Applications via other channels (esp. e-mail) cannot be considered.

What do 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.
• Many other benefits at bmw.jobs/benefits

Earliest starting date: from now on
Type of employment: unlimited
Working hours: full-time

When you apply, the next steps in the selection process include an online test followed by interviews with the hiring manager (either virtual or in person).

You can find helpful tips on your application and the application process here.

At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Learn more here.