About the job
Join Bosch as an enthusiastic intern and contribute to pioneering advancements in reinforcement learning and simulation for autonomous vehicle planning. This role focuses on innovative research and development of cutting-edge algorithms, conducting experiments, and translating groundbreaking ideas into viable products.
Internship Opportunities: Collaborate with a team of skilled researchers and engineers in one of the following domains:
- GPU-Accelerated Simulation for Reinforcement Learning:
Design and improve high-performance, scalable simulation environments specifically for reinforcement learning applications in autonomous driving. - ML-Based Planning Models Integration:
Create, train, and embed planning models for autonomous driving, utilizing GPU-accelerated simulations to enhance performance in complex driving scenarios. - Hybrid Learning Approaches:
Innovate and enhance learning methodologies that integrate imitation and reinforcement learning, emphasizing multi-agent self-play techniques.
Key Responsibilities:
- Engage in transformative engineering projects that apply deep learning and reinforcement learning to resolve challenges in autonomous driving planning and simulation.
- Collaborate with an international team of experts to implement advanced research results into Bosch's business units, testing and validating concepts in simulated environments and with self-driving vehicles.
- Work alongside domain specialists to explore novel learning-based planning and decision-making strategies.
- Conduct benchmarking and validation of models using extensive datasets and simulations.
- Share research outcomes through comprehensive internal reports and potential external publications.
