Internship - Intelligent Control for Power Electronics (m/f/d)

Job ID: 29773 Company: CARIAD SE Location: Department: Apprenticeship & Study Career Level: Students Working Model: Full-time Contract Type: Fixed-term Remote Working: According to company policy Posting Date: Sep 3, 2026 We are CARIAD, the automotive software company of the Volkswagen Group. Our teams build automotive software platforms and digital customer functions for iconic brands like Audi, Volkswagen, and Porsche – supporting the Volkswagen Group in becoming the leading automotive technology company. With CARIDIANS in Germany, the USA, China, Estonia, and India, we are transforming automotive mobility for everyone. Join us and be part of this exciting journey! YOUR TEAM For the department Vehicle, Energy, Motion & Body (VEMB) we are looking for an intern in the field of system identification, control theory and machine learning. Our department develops advanced software for vehicle energy, motion, and body systems. Our VEMB pre-development team works on methods for end-to-end learning of VEMB functions to enable faster, scalable and more cost-effective product development. We cover the entire development range, from initial concepts to proof of concepts in test vehicles. Thereby, we work in close cooperation with the series development departments. WHAT YOU WILL DO Work closely with PhD researchers to address key challenges in optimal control, focusing on applications in power electronics. Review, evaluate, and implement state-of-the-art methods (e.g. Reinforcement Learning, Model Predictive Control). Select, implement, and adapt suitable algorithms, including agent training, hyperparameter tuning, and performance optimization. Design and conduct systematic experiments, including baseline comparisons, ablation studies, and robustness evaluations, to validate controller performance. Deploy and integrate developed control algorithms on embedded hardware Collaborate with teams in pre-development and series development WHO YOU ARE Enrolled student in a relevant field: Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, etc. Knowledge in control design and Reinforcement Learning. Experience with Python and ML frameworks such as Jax, PyTorch, etc. Hands-on experience through real-world projects, such as student projects, internships, or prior work experience. Strong analytical and problem-solving skills. High level of commitment, initiative, and teamwork. Fluency in English and German and good communication skills NICE TO KNOW Remote work options within Germany Duration: 6 months 35 hours/week Salary: 13,90 €/hour At CARIAD, we embrace individuality and diversity because we believe our differences make us stronger. We actively seek to build teams with a variety of backgrounds, perspectives, and experiences. Our goal is to create an environment where everyone feels valued and empowered to contribute. If you need assistance with your application due to a disability, please reach out to us at careers@cariad.technology - we are happy to support you. We are CARIAD, the automotive software company of the Volkswagen Group. Our teams build automotive software platforms and digital customer functions for iconic brands like Audi, Volkswagen, and Porsche – supporting the Volkswagen Group in becoming the leading automotive technology company. With CARIDIANS in Germany, the USA, China, Estonia, and India, we are transforming automotive mobility for everyone. Join us and be part of this exciting journey! YOUR TEAM For the department Vehicle, Energy, Motion & Body (VEMB) we are looking for an intern in the field of system identification, control theory and machine learning. Our department develops advanced software for vehicle energy, motion, and body systems. Our VEMB pre-development team works on methods for end-to-end learning of VEMB functions to enable faster, scalable and more cost-effective product development. We cover the entire development range, from initial concepts to proof of concepts in test vehicles. Thereby, we work in close cooperation with the series development departments. WHAT YOU WILL DO Work closely with PhD researchers to address key challenges in optimal control, focusing on applications in power electronics. Review, evaluate, and implement state-of-the-art methods (e.g. Reinforcement Learning, Model Predictive Control). Select, implement, and adapt suitable algorithms, including agent training, hyperparameter tuning, and performance optimization. Design and conduct systematic experiments, including baseline comparisons, ablation studies, and robustness evaluations, to validate controller performance. Deploy and integrate developed control algorithms on embedded hardware Collaborate with teams in pre-development and series development WHO YOU ARE Enrolled student in a relevant field: Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, etc. Knowledge in control design and Reinforcement Learning. Experience with Python and ML frameworks such as Jax, PyTorch, etc. Hands-on experience through real-world projects, such as student projects, internships, or prior work experience. Strong analytical and problem-solving skills. High level of commitment, initiative, and teamwork. Fluency in English and German and good communication skills NICE TO KNOW Remote work options within Germany Duration: 6 months 35 hours/week Salary: 13,90 €/hour At CARIAD, we embrace individuality and diversity because we believe our differences make us stronger. We actively seek to build teams with a variety of backgrounds, perspectives, and experiences. Our goal is to create an environment where everyone feels valued and empowered to contribute. If you need assistance with your application due to a disability, please reach out to us at careers@cariad.technology - we are happy to support you. Job ID: 29773 Company: CARIAD SE Location: Department: Apprenticeship & Study Career Level: Students Working Model: Full-time Contract Type: Fixed-term Remote Working: According to company policy Posting Date: Sep 3, 2026 Why CARIAD? We believe that how we work together is just as important as the technology we create. We strive to take action with a can-do attitude, and value speed over perfection. We aim to collaborate with mutual trust, taking accountability for our actions. We foster transparency and welcome diverse perspectives as we learn, adapt, and grow together More information Visit our careers page View all jobs HR contact Do you have any suggestions or questions? Get in touch ✉️ Legal Notices Data Privacy | CARIAD Imprint | CARIAD