Job
In this role, you will develop advanced AI applications to automate geometric engineering workflows, focusing on using ML methods to transform CAD data into structured representations.
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Job technologies
Your role in the team
- In this position, you will develop next-generation ML and AI applications that enhance, automate, and accelerate geometric engineering workflows across Magna.
- The core focus is researching and applying state-of-the-art AI techniques for geometry understanding to improve CAD-based engineering processes.
- You will investigate LLM-assisted geometry reasoning, knowledge graphs, and multimodal approaches that combine text, geometry, and simulation data, complemented by geometry embeddings and deep learning methods for meshes and graphs where appropriate.
- These methods will transform CAD geometry into structured representations for downstream tasks such as automated design checks, manufacturability reasoning, variant comparison, tolerance analysis, intelligent parameter recommendations, and automated documentation.
- Working closely with internal customers, R&D teams, CAD experts, and external research partners, you will translate engineering needs into AI solution concepts and prototype, validate, and refine them for integration into existing engineering workflows.
- You will also support R&D engineers and researchers by evaluating relevant technologies from scientific, application, manufacturability, market, and cost perspectives.
- As a Senior Research Engineer, you will plan, execute, and coordinate R&D programs with internal and external R&D departments, suppliers, companies, research institutions, and academia.
- Evaluate emerging AI, CAD, and engineering technologies and solution designs against scientific and engineering principles, company standards, customer requirements, technical feasibility, manufacturability, and business value.
- Research and develop AI-enabled geometric engineering solutions from initial concept through system design, prototyping, validation, testing, and preparation for integration into productive engineering workflows.
- Translate CAD geometry and related engineering data into structured representations, including graphs, ontologies, and knowledge graphs, for use by AI agents and downstream engineering applications.
- Identify gaps and opportunities in current product-development and manufacturing processes and convert internal customer needs into actionable AI system requirements, concepts, and R&D priorities.
- Analyze engineering and AI results, recommend solution or process improvements, and validate AI-generated outcomes against CAD data, simulation results, engineering rules, experimental data, or established engineering methods.
- Design and implement agent behaviors, reasoning pipelines, CAD-aware tool interactions, and software prototypes using appropriate CAD, geometry-processing, AI/ML, and software-development technologies.
- Manage innovation projects by planning and monitoring progress, coordinating technical activities and dependencies, resolving issues, maintaining required documentation, and communicating results, risks, and recommendations to stakeholders.
- Define technical requirements and coordinate work packages with suppliers, external development partners, research institutions, and academia, ensuring technical quality and timely delivery.
- Ability to travel domestically and internationally.
Our expectations of you
Education
- Master's or higher degree in Engineering including but not limited to: Artificial Intelligence, Computer Science, Automotive OEM or Tier-1 experience preferred.
Qualifications
- Strong spoken and written English language skills.
- Solide Kenntnisse in den Prinzipien des maschinellen Lernens, Algorithmen und praktischen Anwendungen.
- Proficient in programming Python and object-oriented programming (OOP) principles.
- Proficient with development tools including Git version control, Linux terminal, and Bash scripting.
- Solid understanding of geometry representations (parametric, mesh, BREP,...)
Experience
- 5 years or more experience including Ph.D. research, software & ML/GenAI/AI related industry
- Hands-on experience in machine learning and AI frameworks such as PyTorch, TensorFlow, JAX, ...
- Experience in CAD Design (CATIA, NX, etc.), writing Macros and CAD APIs
- Experience in 3D Geometry Tools (Blender, Mesher, etc.)
What we offer
- The position is located in St. Valentin/Austria.
- A presence of at least 3 working days per week is required.
- We offer a salary which is in line with market conditions depending on your skills and experience.
Benefits
Higher take-home pay
Topics you will work on
Job locations
About your employer
Graz, Klagenfurt, Lannach, Weiz, Weikersdorf Am Steinfelde, Traiskirchen, Sankt Valentin, Wien, München, Mühlhausen Im Täle, Sindelfingen, Ingolstadt, Leonberg, Sailauf, Schleiz, Köln, Heilbad Heiligenstadt, Wolfsburg
Magna is a leading technology and mobility company, with 344 production plants and 93 product development, engineering, and sales centers in 27 countries. As the largest automotive supplier in the world, Magna is helping to shape the biggest transformation in auto history by leading the way in electric vehicles, autonomous driving, and innovative manufacturing processes. We offer you all of the opportunity to help create the next generation of cars – join us as we shape the future of mobility together!
- 250+ Employees
- 1957
- German, English
- Established Company
- Onsite, Hybrid
- Vehicle Manufacturing, Supplier · Electronics, Automatization · Internet, IT, Telecommunication
Employer reviews
- Engineering
- 3.5
- Career growth
- 4.1
- Team culture
- 4.3
- Working conditions
- 4.2
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