Driving Foundations Research Intern

At Bosch Research, you will work on the latest challenges drawn from Mobility, including autonomous parking and driving. You will work closely with experienced Bosch researchers in Silicon Valley and across our global research network, receive mentorship from leading AI experts, and contribute to publications in top-tier AI conferences and journals. This internship offers a unique opportunity to combine scientific innovation with real-world deployment and technology transfer. Depending on your expertise and interests, you will contribute to one or more cutting-edge research topics, including: • Autonomous E2E/ World Action Models (WAM) models • Planning and decision making under uncertainty and noise • Road user behavior modeling in dynamic scenarios • Post-training, Reinforcement Learning, and Self-Play • Foundation model distillation (i.e. student/teacher) • Multi-modal trajectory modeling using vision and priors Key responsibilities include: • Conduct novel research in E2E, Distillation, and RL methods. • Develop research prototypes that demonstrate innovative ideas and solutions. • Collaborate closely with Bosch researchers and subject-matter experts. • Analyze experimental results and identify opportunities for scientific innovation. • Publish research outcomes in top-tier AI and robotics conferences and journals, such as CoRL, ICRA, CVPR, NeurIPS, ICML, and ICLR. • Present research findings internally and externally through technical reports, publications, and presentations. Basic Qualifications • Currently enrolled in a Ph.D. or Master's program in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, Robotics, or a related field. • Minimum GPA of 3.0 • Strong research background in autonomous driving, robotics, computer vision, machine learning, or related areas • Research experience in post-training, reinforcement learning, self-play, and end-to-end systems. • Experience developing AI and robotics systems using modern frameworks and ecosystems • Strong programming skills in Python and experience with modern AI/ML framework • Experience conducting independent research, designing experiments, and analyzing results. • Strong written and verbal communication skills and ability to work effectively in a collaborative research environment. Preferred Qualifications • Publication record in top-tier AI, CV, or robotics venues (e.g., CoRL, ICRA, CVPR, NeurIPS, ICML, and ICLR). • Research experience in autonomous driving and robotics architectures, task planning, reasoning, and autonomous decision making. • Experience with behavior modeling, scene understanding, and prediction • Experience with multi-modal foundation models involving language, vision, and structured data. • Experience in reinforcement learning, online learning, or adaptive decision-making systems. • Experience with autonomous driving benchmarking, evaluation methodologies, reliability, and safety. • Experience working with real-time systems and full driving/parking/robotics stack(s) • Open-source contributions or demonstrated leadership in AI research communities. Equal Opportunity Employer, including disability / veterans    *Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.   BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) • FIRST Robotics (For Inspiration and Recognition of Science and Technology) • AWIM (A World In Motion) The U.S. base salary range for this intern position is  $46.00-69.00  hourly. Within the range, individual pay is determined bas