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Job descriptions may display in multiple languages based on your language selection. What we offer: At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed.

As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are. Group Summary: Magna is more than one of the world’s largest suppliers in the automotive space.

We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape. Job Responsibilities: The position is located in St.

Valentin/Austria. A presence of at least 3 working days per week is required. Position Overview: 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.

Essential Duties and Responsibilities: - 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. Qualifications: - 5 years or more experience including Ph.D. research, SW & MLAI related Industry Education / Experience: - Master s or higher degree in Engineering including but not limited to: Artificial Intelligence, Computer Science, Automotive OEM or Tier-1 experience preferred. Special Knowledge / Skills: - 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. - Hands on experience in machine learning and AI frameworks such as PyTorch, TensorFlow, JAX, … - Proficient with development tools including Git version control, Linux terminal, and Bash scripting. - Solid understanding of geometry representations (parametric, mesh, BREP,…) - Experience in CAD Design (CATIA, NX, etc.), writing Macros and CAD APIs - Experience in 3D Geometry Tools (Blender, Mesher, etc.) Location benefits: - Long-term perspectives in an international company - Attractive conditions for further training measures - Profit sharing in the company s success - Home office options and flexible working hours - Employee and family support program (consulting services, information, recommendations, and needs-based support, etc.) We offer a salary which is in line with market conditions depending on your skills and experience.

Awareness, Unity, Empowerment: At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity.

Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law. AI-Assisted Screening Disclosure As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system.

These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team.

Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies. Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team. Worker Type: Regular / Permanent Group: Magna Corporate