Working at Freudenberg: We will wow your world!

Responsibilities:

• Design and implement a scalable data architecture to enable training of AI models for robotics as well as for material and component development.
• Build and maintain data pipelines for collection, storage, processing, and provisioning of large and complex datasets.
• Ensure data quality, governance, and compliance across all stages of the data lifecycle.
• Support the development and deployment of AI models and provide expert guidance to project teams.
• Act as a subject matter expert for data-driven methods and AI architecture within the organization.
• Collaborate with motion control and application specialists to integrate sensory and control data for AI training and model deployment.
• Develop and maintain infrastructure supporting foundation models (e.g., LLM, VLM, VLA) for robotic perception, reasoning, and action planning.
• Build scalable pipelines to train and fine-tune large models using real-world and simulated data.
• Integrate VLM/VLA models with robotics systems to enable multimodal understanding (vision-language-action) and adaptive task execution.
• Contribute to the creation of simulation-to-real pipelines for humanoid robotics.

Qualifications:

• Master’s degree or above in Computer Science, Data Engineering, Data Science, or a related field.
• Minimum of 5 years of experience in industry or academia.
• Proven experience in data architecture design and data pipeline development (batch and streaming).
• Familiarity with cloud or on-premises data platforms (e.g., AWS, Azure, Hadoop, Spark).
• Strong programming skills in Python and experience with ML frameworks.
• Practical experience working with foundation models (e.g., LLM, VLM, VLA) or large-scale AI systems.
• Understanding data management best practices.
• Experience with AI/ML methods (e.g., Reinforcement Learning, Deep Learning).
• Knowledge of robotics data (sensor data, simulation, telemetry).
• Experience in motion data processing and control signal modeling.
• Experience with training, fine-tuning, or integrating foundation models for robotic applications.
• Background in data governance and security standards.
• Understanding of digital twin workflows and control-policy optimization.

The Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion. Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law.