PhD Large-scale Agentic AI Systems for Automotive Design (f/m/x)

We are offering an exciting PhD position focused on large-scale agentic AI systems to modernize product design and development. This topic sits at the intersection of some of the most transformative technologies of today: foundation models, 3D CAD, and industrial-scale AI agents. Therefore, it offers substantial opportunities for personal and technical growth.

Responsibilities

You will support research in generative and agentic systems for engineering workflows such as CAD, CAE, and CAM; Furthermore, you help explore and implement agentic systems and large industry models relevant to vehicle design, testing, and optimization; In addition, you contribute to the development of multimodal models to streamline geometrical and functional automotive design processes; Moreover, you collaborate closely with leading universities and industry research partners to build novel solutions based on real-world use cases

Requirements

University degree in computer science, mathematics, engineering, or an equivalent field; Experience in AI model development and MLOps with a focus on deep learning, generative models, and large multimodal architectures; Good understanding of engineering artifacts such as 3D geometry and simulation models, as well as product design and development processes; Proficiency in programming and software engineering best practices, ideally AgentOps; Business-fluent English

Nice to have

Experience with technical computing and numerical simulation is a plus; Track record of research contributions such as publications or conference talks is a plus; German language skills are a plus

Benefits

Comprehensive mentoring & onboarding; Personal & professional development; Flexible working hours; Mobile work; Attractive & fair remuneration; Annual special payments such as vacation pay and Christmas bonus; Apartment offers for students (subject to availability & only Munich)