Driving Foundations Research Intern

Bosch Group • Sunnyvale, CA

4d

About The Position

Bosch Research is seeking an intern to work on research challenges in mobility, including autonomous parking and driving. The intern will work with experienced Bosch researchers in Silicon Valley and across Bosch’s global research network, receive mentorship from AI experts, and contribute to research publications. The internship combines scientific innovation with real-world deployment and technology transfer.

Depending on the intern’s expertise and interests, work may involve autonomous end-to-end and World Action 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, and multimodal trajectory modeling using vision and priors.

Requirements

• 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 a related area.
• 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 Python programming skills and experience with modern AI/ML frameworks.
• 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.

Nice To Haves

• Publication record in top-tier AI, computer vision, or robotics venues such as 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 multimodal 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, or robotics stacks.
• Open-source contributions or demonstrated leadership in AI research communities.

Responsibilities

• Conduct novel research in end-to-end, distillation, and reinforcement-learning methods.
• Develop research prototypes that demonstrate innovative ideas and solutions.
• Collaborate 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, including CoRL, ICRA, CVPR, NeurIPS, ICML, and ICLR.
• Present research findings internally and externally through technical reports, publications, and presentations.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern