Research Intern – World-Action Model / VLA for Autonomous Driving

Job Description

You contribute to research projects at the forefront of the ADAS/AD industry. You will work at the intersection of VLAs, generative modeling and world models, and contribute to research that pushes toward scalable autonomy. Key responsibilities include:

• Designing and training world-action models (autoregressive / diffusion-based) that predict future sensor observations or latent states conditioned on ego actions.
• Integrating world models with planning for end-to-end or model-based driving policies.
• Summarize research findings in high-quality paper and/or patent submissions.

Qualifications

• Basic Qualifications
• Ph.D. student in Computer Science, Robotics, Computer Engineering, or a related field (must be a currently enrolled student).
• Minimum GPA of 3.0
• Hands-on experience with at least one of: generative models (diffusion, autoregressive transformers, VAEs), world models / video prediction, or end-to-end autonomous driving.
• Solid fine-tuning skills and proficiency with deep learning frameworks.
• Experience with reinforcement learning and/or model-based planning.
• Potential Qualifications
• Publication record in top venues including CVPR, ICCV, ECCV, ICLR, NeurIPS and ICML.
• Familiarity with driving benchmarks such as NavSim and Bench2Drive.
• Experience with large-scale distributed training and multi-modal / video data pipelines.
• Able to work independently, with strong research and problem-solving skills.
• Good communication and teamwork skills.

Additional Information

• The U.S. base salary range for this intern position is $39.00 - $66.00. Within the range, individual pay is determined based on several factors, including, but not limited to, type of degree, work experience and job knowledge, complexity of the role, type of position, job location, etc.
• 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.