Vision-Language-Navigation Systems for ADAS - Intern

Job Description:

Job Description

As the Vision-Language-Navigation Systems for ADAS - Intern you will perform research on ADAS-use-case-specific VLA aspects, like incorporating memory or fine tuning with specific maneuvers.
A few of your responsibilities will include:
* Conduct advanced research and engineering in multimodal LLMs, 3D perception, navigation and planning 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

Candidate Requirements:

Qualifications

Basic Qualifications
* Ph.D. student in Computer Science, Robotics or related fields (Must be a current student)
* Hands-on experience on developing algorithms with focus on at least two of the following areas: multimodal foundation models, detection/segmentation, 3D scene understanding, autonomous driving, robotic navigation or planning and sensor fusion.
* Solid Python skills and proficient with libraries such as MMCV and PyTorch.
* Minimum GPA of 3.0
Preferred Qualifications
* Publication record in top venues including CVPR, ICCV, ECCV, ICRA and IROS
* Familiar with SOTA in embodied question answering, vision-language navigation and so on.
* Familiar with ROS2
* Familiar with CARLA or IsaacSim
* Able to work independently, has strong research and problem-solving skills
* Good communication and teamwork skills