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

PhD position focused on large-scale agentic AI systems to advance car design and development. The role involves research in generative and agentic systems for CAx workflows, exploration and implementation of agentic systems and large industry models relevant to vehicle design, testing, and optimization, and development of multimodal models to streamline geometrical and functional automotive design process.

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 CAx artifacts (3D geometry, simulation model, etc.) and related workflows used in product design and development.
• Proficiency in programming and software/cloud engineering best practices, ideally AgentOps
• Experience with technical computing and numerical simulation is a plus.
• A track record of research contributions (publications, conference talks, or equivalent) is a plus.
• Business-fluent English; German language skills are a plus.

Benefits

• Comprehensive mentoring & onboarding
• Personal & professional development
• Flexible working hours
• Digital offers & mobile working
• Attractive, fair remuneration
• Apartment offers for students (subject to availability & only Munich)
• Other benefits - see bmw.jobs/benefits