Job
- Level
- Erfahren
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- München
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Position entwickelst du KI-gestützte Softwarelösungen für die Automobilindustrie, entwirfst Retrieval-Augmented Generation Pipelines und automatisierst DevOps-Prozesse für Softwareprojekte.
Job Technologien
Deine Rolle im Team
- Research and development of LLM- and VLM-based methods for automotive software engineering.
- Development of agentic AI systems with Human-in-the-Loop mechanisms for software development, testing, deployment, and maintenance.
- Design and implementation of Retrieval-Augmented Generation (RAG) pipelines using automotive standards, technical documentation, software models, and source-code repositories.
- Development of AI-supported methods for code generation, code transformation, software updates, and platform-specific software adaptation.
- Automation of automotive DevOps and DevSecOps workflows, including continuous integration, testing, verification, security analysis, deployment, and monitoring.
- Development of generative AI methods for automated test-case generation, software validation, vulnerability analysis, and debugging.
- Integration of locally deployable LLMs and VLMs into privacy-sensitive industrial development environments.
- Evaluation of the developed approaches using automotive use cases, simulation environments, and software-defined vehicle platforms.
- Publication of research results at leading international conferences and in scientific journals.
- Collaboration with academic and industrial partners within a large interdisciplinary research project.
Unsere Erwartungen an dich
Ausbildung
- A completed master's degree in Computer Science, Artificial Intelligence, Software Engineering, Robotics, or a related field.
Qualifikationen
- Knowledge of machine learning, Large Language Models (LLMs), Vision Language Models (VLMs), or generative AI.
- Interest in automotive software engineering, software-defined vehicles, and future mobility technologies.
- Strong analytical and scientific skills and motivation to pursue a doctorate.
- Ability to work independently and contribute effectively to an interdisciplinary and international research team.
- Excellent written and spoken English.
Erfahrung
- Strong experience in software development and excellent programming skills, preferably in Python.
- Experience with Retrieval-Augmented Generation (RAG), AI agents, model-driven engineering, DevOps, DevSecOps, or automated testing is advantageous.
Unser Angebot
- Flexible working hours with home office options.
- A friendly, international, and open working atmosphere with state-of-the-art research infrastructure.
- Access to modern computing and GPU infrastructure for the development and evaluation of LLM-, VLM-, and agentic AI solutions.
- Research across the entire automotive software development lifecycle, from requirements and software architecture to code generation, testing, deployment, and maintenance.
- Participation in a major national research project involving leading academic and industrial partners.
- The opportunity to contribute your own ideas, define research priorities, and shape the future of AI-supported automotive software engineering.
- Close collaboration with automotive manufacturers, suppliers, technology companies, and research institutions.
- Comprehensive scientific supervision and support for pursuing a doctorate.
- Opportunities to publish at high-ranking international conferences and in scientific journals.
- A full-time position with payment according to TV-L E13.
Benefits
Gesundheit, Fitness & Fun
Work-Life-Integration
Mehr Netto
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
TU München
Die Munich School of Robotics and Machine Intelligence (MSRM) ist eine der weltweit führenden Institutionen für Forschung in Robotik und maschineller Intelligenz. Wir suchen herausragende Bewerber für Postdoc-Stellen unter der Leitung von Prof. Sami Haddadin.
Description
- Unternehmensgröße
- 250+ Employees
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Bildungswesen
PhD Position in Generative AI for Automotive Software Engineering
- Ort
- München
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
