Senior 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. 

 

We are a team of AI engineers and AI strategists shaping the future of systems and hardware architecture. Together, we determine and drive software architecture with a strong focus on AI trends that interplay symbiotically. 

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!

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

 

Start date: from now on

Type of employment: unlimited
Working hours: full-time

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). 

 

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.