Job
- Level
- Senior
- Ort
- St. Valentin
- Arbeitsmodell
- Hybrid, Onsite
- Job Feld
- Data, Application
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
Job Zusammenfassung
In dieser Position entwickelst du fortschrittliche AI-Anwendungen zur Automatisierung geometrischer Ingenieurprozesse, insbesondere durch den Einsatz von ML-Methoden, um CAD-Daten in strukturierte Formate zu verwandeln.
Job Technologien
Deine Rolle im 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.
Unsere Erwartungen an dich
Ausbildung
- Master's or higher degree in Engineering including but not limited to: Artificial Intelligence, Computer Science, Automotive OEM or Tier-1 experience preferred.
Qualifikationen
- Strong spoken and written English language skills.
- Solid foundation in machine learning principles, algorithms, and practical applications.
- 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,...)
Erfahrung
- 5 years or more experience including Ph.D. research, SW & 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.)
Unser Angebot
- 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
Work-Life-Integration
- 🧳Relocation Package
- 🕺No Dresscode
- ⏸Bildungskarenz/Auszeit
- 🏝Extra Urlaubstage
- 🚌Gute Anbindung
- 🏠Home Office
- 🍼Kinderbetreuung
- 🅿️Mitarbeiterparkplatz
- ⏰Flexible Arbeitszeiten
Gesundheit, Fitness & Fun
- 🧠Psychische Gesundheitsv.
- 🚲Fahrradabstellplatz
- 🏋🏿♂️Fitness Angebote
- 👩⚕️Betriebsarzt
- 🙂Gesundheitsförderung
- 🎳Team Events
- 👨🏻🎓Paten- & Mentor- Programm
- ♿️Barrierefreiheit
Essen & Trinken
Mehr Netto
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Magna
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 ist ein Pionier und weltweiter Marktführer in der Entwicklung von Mobilitätslösungen. Mit über 344 Produktionsstätten und 93 Forschungs- & Entwicklungseinrichtungen in 27 Ländern gestaltet Magna den größten Wandel in der Automobilgeschichte entscheidend mit. Wir bieten dir alle Chancen, deine Ideen umzusetzen und die Zukunft unserer Mobilität aktiv mitzugestalten.
Description
- Unternehmensgröße
- 250+ Employees
- Gründungsjahr
- 1957
- Sprachen
- Deutsch, Englisch
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Fahrzeugbau, Zulieferer, Elektronik, Automatisation, Internet, IT, Telekom
Arbeitgeber-Reviews
von devworkplaces.com
Gesamt
(3 Bewertungen)4.0
Engineering
3.5Career Growth
4.1Culture
4.3Workingconditions
4.2
Sr. Engineer - AI CAD Engineer
- Ort
- St. Valentin
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
