20 beste Stellen als validation expert in münchen, by – aktuell auf Personalsuche

Validation Engineer - Context, Semantics & Memory (f/m/x)
BMW —München
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Validation Engineer - Multi-Agent AI Systems (f/m/x)
BMW —München
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HERE Technologies —München
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Bosch Group —München
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- Master
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Mistral AI —München
- Vollzeit
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- Machine Learning
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2 Tage
Product Owner - VDC Manager (f/m/d)
Thinkproject Holding GmbH —München
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- Windows
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MOIA GmbH —München
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Conxai Technologies GmbH —München
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Nucs AI —München
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Senior Data & Analytics Engineer (Europe, 100% remote)
LimeFlight —München
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Entwicklungsingenieur E/E (w/m/d)
Capgemini Sogeti —München
- Englisch
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Systems Engineer - Mission Aircraft (m/f/d)
Quantum-Systems GmbH —Gilching
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Director, Computational Pathology Biomarker Lead (Oncology/BioPharma) (m/f/d)
AstraZeneca —München
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Senior Application Manager (m/f/d) – Automotive Battery Management Systems
Renesas Electronics —Germering
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Billing Specialist/ Patientenabrechnung (all genders) in healthcare
Avelios Medical —München
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Billing Specialist/ Patientenabrechnung (all genders) in healthcare
Avelios Medical GmbH —München
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Validation Engineer - Context, Semantics & Memory (f/m/x)

BMW -
München

Jetzt bewerben

Details zur Stelle

Vollzeit

Leistungen

Flexible Arbeitszeiten

Qualifikationen

Kotlin
Informatik
SPARQL
Java
Master
Datenbanken
C++
GitHub
Künstliche Intelligenz
Graphdatenbanken
Python
Analytik

Vollständige Stellenbeschreibung

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.

Our platform teams build AI-based toolchains that simulate, reprocess and train models on petabyte-scale automotive data – and we increasingly rely on agentic AI to operate, maintain and improve these toolchains. The glue that makes agents effective is context: the right knowledge, delivered at the right time, in the right shape. We are looking for an engineer who can design and evolve the knowledge-management and context-engineering backbone that powers both our product (an inter-domain multi-agent vehicle system) and our internal development toolchain.

What awaits you?

You design and operate knowledge graphs and graph databases that capture domain knowledge, toolchain topology, operational incidents, root-cause analyses and lessons learned – enabling graph-based retrieval across the organization.
Further, you build context-engineering pipelines that dynamically assemble, rank and budget the information supplied to LLM-based agents.
Also, you implement feedback loops: coding agents and skills that interact with our toolchain log outcomes, diagnose failures and write findings back into the knowledge graph, making the system progressively more capable.
It is your responsibility to develop and maintain ontologies and semantic models for the automotive AI domain – sensor configurations, simulation scenarios, data-pipeline topology, model lineage – ensuring consistent vocabulary across teams and tools.
You architect agent memory systems (working, episodic, semantic) with appropriate consolidation and retention mechanisms so that long-running agent sessions retain useful experience without context-window bloat.
In addition, you evaluate and optimise retrieval quality using relevance, coverage, freshness and redundancy metrics, and run experiments comparing retrieval strategies (dense, sparse, graph, hybrid).
You contribute to cost-efficient model selection and context-compression strategies (prompt compression, semantic caching, model routing) to keep latency low and budgets sustainable at scale.

What should you bring along?

University degree in Computer Science, Information Science, AI/ML, or a related field.
1-3 years of professional experience in knowledge management, knowledge-graph engineering or context engineering for AI/LLM systems.
Expert-level programming skills in at least one high-level language (C++, Java, Kotlin or Python).
Proficiency in AI-assisted development using coding agents such as Claude Code, GitHub Copilot or OpenCode.
Hands-on experience building and querying knowledge graphs (RDF/SPARQL or property graphs) and integrating them with LLM-based retrieval (e.g. GraphRAG, hybrid search).
Experience with systems design, particularly for knowledge-intensive or retrieval-heavy architectures.
Familiarity with agent memory architectures, ontology design, semantic modelling, graph-based analytics, entity resolution or knowledge-graph embeddings.

You enjoy working in an international team and are passionate about software quality? 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 technical interviews with the hiring manager (either virtual or in person).

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

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.

Legal Entity:

BMW AG

Location:

Munich

Job Field:

Autonomous Driving

Job Id:

185161

Publication Date:

17.04.2026

Jetzt bewerben

Erweiterte Suche

validation expert Jobs in münchen, by

Validation Engineer - Context, Semantics & Memory (f/m/x)

Validation Engineer - Multi-Agent AI Systems (f/m/x)

Titel DAG ONSITE: Operational Suitability Data (OSD) Expert

Titel DAG Onsite: Data Module Validation Engineer

Scientist (M/F/D) with a focus on Method Validation, Method Development and Analytical Transfers

DAG Onsite: Data Module Validation Engineer

Sr./Principal Engineer- Autonomous Vehicle Simulation Domain Expert

ASIC Digital Design Expert (f/m/div)

Applied Scientist / Domain Expert, AI4Engineering - EMEA

Product Owner - VDC Manager (f/m/d)

SOTIF Expert (all genders)

Civil Engineering Expert - AI & Data

Machine Learning Scientist

Senior Data & Analytics Engineer (Europe, 100% remote)

Entwicklungsingenieur E/E (w/m/d)

Systems Engineer - Mission Aircraft (m/f/d)

Director, Computational Pathology Biomarker Lead (Oncology/BioPharma) (m/f/d)

Senior Application Manager (m/f/d) – Automotive Battery Management Systems

Billing Specialist/ Patientenabrechnung (all genders) in healthcare

Billing Specialist/ Patientenabrechnung (all genders) in healthcare

Ich möchte aktuelle Job-E-Mails für Stellen als validation expert in münchen, by erhalten

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