Vehicle AI Context Engineer - Semantics & Memory (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 of Vehicle AI engineers, architects, and platform developers, you will contribute to making our vehicles truly intelligent. You will shape data models and software architecture, determine and drive the implementation of in-vehicle software platforms with a strong focus on connecting Autonomous Driving and Real-Time Systems with other domains contributing to a great customer experience.

What awaits you?

• You will define the core semantic ontology and context data models that empower our future agentic AI for Autonomous Driving and Real-Time systems.
• As a Project Lead, you will drive the implementation of advanced data infrastructure functions from concept to SOP.
• Also, you design and implement a multi-level memory concept, enabling vehicles to learn and retain context across real-time and long-term horizons with particular focus on connecting to our in-vehicle speech assistant.
• You orchestrate the seamless integration of ML, GenAI, and symbolic reasoning rules to curate and foster the semantic context as "brain" for the vehicle.
• In addition, you develop the overarching data model strategy required for fine-tuning SLMs and VLMs for agentic applications in the Autonomous Driving and Real-Time system domain.
• Furthermore, you are responsible for selecting the technology stack (in-vehicle and toolchain) and creating high-quality reference datasets that define our AI performance.
• Your work directly influences how BMW vehicles perceive, reason, and act in complex, real-world environments.

What should you bring along?

• Master’s degree or PhD in Computer Science, AI, or a related field, combined with the "Sheer Driving Pleasure" mindset to innovate.
• Deep expertise in Knowledge Graph technologies, specifically SparQL, RDF, and GraphQL.
• Track record of managing technical projects and driving cross-functional teams toward a common architectural goal.
• Intimate familiarity with embedded systems and how to map physical signals to semantic meaning – previous experience in the automotive domain are appreciated.
• In-depth understanding of Agentic AI architecture, including memory management, tool-use, and multi-agent orchestration.
• Solid grasp of modern programming languages like Rust and Python, with a keen understanding of both embedded constraints and high-level AI frameworks.
• Passion for data quality and experience in designing complex information flows that fuel modern ML pipelines.

Are you ready to shape the future of data-driven mobility with us? 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 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.