Definition of the central semantic ontology and the context data models that enable our future agentic AI for autonomous driving and real-time systems.
As a project lead, you drive the implementation of advanced data infrastructure features from concept through to SOP (start of production).
Design and implement a multi-tier memory concept that allows vehicles to learn and retain context across real-time and long-term horizons, with a special focus on integration with our in‑vehicle voice assistant.
Orchestrate the seamless integration of ML, GenAI and symbolic rule systems to curate and cultivate the semantic context as the vehicle’s “brain.”
Develop the comprehensive data model strategy required to optimize SLMs and VLMs for agentic applications in autonomous driving and real-time systems.
Responsible for selecting the technology stack (in-vehicle and in the toolchain) and producing high-quality reference datasets that define our AI performance.
Your work directly influences how BMW vehicles perceive, reason about, and act in complex, real-world environments.

Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field, combined with a “Sheer Driving Pleasure” mindset to innovate.
Deep expertise in knowledge graph technologies, particularly SPARQL, RDF and GraphQL.
Proven experience leading technical projects and steering interdisciplinary teams toward a shared architectural goal.
Familiarity with embedded systems and how physical signals are translated into semantic meaning — previous automotive experience is desirable.
Comprehensive understanding of agentic AI architectures, including memory management, tool use, and multi-agent orchestration.
Strong proficiency in modern programming languages such as Rust and Python, and a solid understanding of embedded constraints as well as contemporary AI frameworks.
Passion for data quality and experience designing complex information flows that drive modern ML pipelines.

Challenging projects that let us shape the mobility of tomorrow together.
A wide range of personal and professional development opportunities.
Attractive, fair and performance-based compensation.
High job security.
Annual special payments such as vacation allowance, Christmas bonus and profit-sharing.
Flexible working hours, including 6 weeks of annual leave and overtime compensation.
Preferential BMW & MINI conditions.
Many additional benefits at bmw.jobs/benefits

Vehicle AI Context Engineer – Semantics & Memory

Key skills