End-to-End Autonomous Driving - Intern

Job Description:

Job Description

As an intern in the field of End-to-end Autonomous Driving, your responsibilities will be the following:
* Design, implement, and debug E2E planners, ensuring generated paths are geometrically valid and adhere to vehicle dynamics.
* Collaborate with mentors and team members to refine research goals, discuss technical challenges, and explore extensions such as closed-loop fine-tuning and RL integration.
* Regularly report research progress through meetings, written updates, and technical presentations.
* Analyze experimental results, document methodologies, and summarize findings in clear and reproducible formats.
* Contribute to the preparation of research papers, technical reports, or potential submissions to top conferences

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 efficient algorithms with focus on autonomous driving, robotic navigation or planning.
* Solid Python skills and proficient with libraries such as PyTorch.
* Proficient with RL platform.
* Minimum GPA of 3.0
Preferred Qualifications
* Publication record in top venues including CVPR, ICCV, ECCV, ICLR, ICRA, and IROS
* Familiar with CARLA or NavSim
* Able to work independently, has strong research and problem-solving skills
* Good communication and teamwork skills