BMW Group

Principal Vehicle AI Architect Research (f/m/x)

Stellenbeschreibung:

Mit unseren Marken BMW, MINI, Rolls-Royce und BMW Motorrad sind wir einer der weltweit führenden Premium-Hersteller von Automobilen sowie Motorrädern und darüber hinaus Anbieter von Premium-Finanz- und Mobilitätsdienstleistungen.

Am Standort München suchen wir Sie als

Principal Vehicle AI Architect Research (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.


What awaits you?

  • You design end-to-end AI and data architectures for future vehicle generations, focusing on the latest AI trends.
  • Additionally, you build architectural concepts that cover diverse use cases, such as digital cockpit and driver interaction for holistic customer experiences.
  • You provide architectural guardrails to business units and development teams, enabling competitive AI products on our platforms.
  • Furthermore, you drive the implementation of scalable AI software platforms using state-of-the-art AI research and leveraging our in-house software stacks.
  • Moreover, you link platform and application development by defining interfaces and ensuring that new AI trends and requirements are integrated directly into the AI and data platforms.
  • You co-create and prioritise AI use cases across domains, assess feasibility and value, and translate them into system and hardware requirements.
  • Beyond that, you continuously evaluate the latest AI developments and implement them where they add value.

What should you bring along?

  • University degree (Master's or PhD) in AI, Machine Learning, Data Science, Computer Science or related field.
  • Several years of experience in AI/data architecture; experience in automotive E/E and vehicle AI is a plus.
  • Proven track record in embedded AI architectures and implementation of Small Language Models (SLM) and Vision-Language Models (VLM).
  • Proficiency in AI training workflows and model optimisation for deployment, such as pruning, fine-tuning, quantization and multimodal encoding is a plus.
  • Familiarity with open-source AI stacks (e.g., vLLM, llama.cpp, ONNX Runtime, TensorRT, LiteRT LM, ExecuTorch, Llama-Stack) on embedded hardware (NPU) and comparison to proprietary frameworks with focus on latency, throughput, and energy.
  • Solid software development and engineering skills: Python, API technologies, CI/CD, and cloud-native deployment.
  • Leadership experience in agile, cross-functional teams and expertise in multi-agent orchestration and conversation-based workflows.

Are you ready to shape the AI and data architecture for future vehicle generations and drive innovative AI solutions into our products? Apply now!

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

If you apply, the next stages of the recruiting process include online testing and then an interview with the hiring manager (either virtual or in person).

Stellenreferenz:
NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    01 Apr 2026
  • Standort:

    München

    Einsatzort:

    Munich, Germany
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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