Scene Understanding and GenAI for Autonomous Driving – Research Intern

Job Description

• Conduct advanced research and engineering in 3D perception and machine learning to address challenges in autonomous systems.
• Apply research results to real-world applications with high quality implementation.
• Integrate the resulting system/software into existing Bosch platform.
• Summarize research findings in high-quality paper and/or patent submissions.

Qualifications

Basic Qualifications

• Ph.D. student in Computer Science or related fields (Must be a current student or recent graduate – less than 1 year)
• Hands-on experience on developing computer vision and deep learning algorithms with focus on at least two of the following areas: multimodal transformers, multimodal language models, diffusion models, NeRF, object detection/segmentation, 3D scene understanding, autonomous driving, behavior modeling/prediction, SfM, voxel/BEV grid-based feature representation.
• Solid python and/or C++ programming skills and proficient with libraries such as OpenCV, Tensorflow, and PyTorch.

Preferred Qualifications

• Publication record in top venues including CVPR, ICCV, ICRA, ISMAR, ECCV, NeurIPS, ICLR, TVCG, SIGGRAPH.
• Experience in working with hardware systems including sensors such as cameras, depth sensors, IMU, LIDAR, etc.
• Able to work independently, has strong research and problem-solving skills.
• Strong background in math and statistics.
• Good communication and teamwork skills.