Design and implement LLM-based or transformer architectures for CAD-related reasoning tasks.
Develop reinforcement learning (RL) and supervise fine-tuning pipelines using real design data.
Build and maintain scalable data processing and evaluation frameworks.
Collaborate with CAD and software engineers to integrate ML outputs into real CATIA workflows.
Research and prototype AI methods for 3D scene understanding, graph-based optimization, and geometric reasoning.
Document results and present outcomes to technical and management stakeholders.
Create and maintain technical documentation and reports.
Ensure proper archiving of all relevant documents and data.
Requirements
M.S. or Ph.D. in Computer Science, Machine Learning, Robotics, or related field.
2+ years of experience in applied ML, preferably with LLMs, RL, or geometric reasoning.
Strong programming skills in Python (PyTorch, TensorFlow, HuggingFace).
Solid understanding of 3D data, geometry, or CAD systems is a plus.
Familiarity with engineering data (e.g., wiring harness, manufacturing design) is beneficial.
Excellent communication and teamwork skills.
Additional experience and/or qualifications in the field of electrical engineering, automotive engineering, mechatronics or comparable qualifications are an advantage.
Experience in project management and coordination of development projects.
Proven experience coordinating a small engineering team.
In-depth knowledge of Design Release processes.
Experience with CAD systems and software (e.g. CATIA V5, 3DX, NX).
Knowledge of the relevant norms and standards in the automotive industry.
Ability to identify process improvements – eliminating waste and increasing efficiency.
Contribute to team knowledge base by sharing best practices across the organization.
Strong communication skills in English (written / verbal).
Additional ability to communicate in German is an advantage.
Benefits
21 days’ vacation per calendar year, increasing yearly by 3 days to a maximum of 30 days.
Paid Holidays – 13 per year
Top notch medical, dental and vision insurance with Employer 50% contribution
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