End-to-End Autonomous Driving - Intern

The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.

As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions.

Originating from the AI research in Silicon Valley, our Intelligent Autonomous Systems group is responsible for enabling future autonomous Bosch products by pushing the boundaries of automated driving, advanced driver assistance systems (ADAS), robotics and automation through key innovations that encompass system architecture and AI components. These include methods for motion planning, high level task planning and decision making as well as systems for making these technologies work on real products by building frameworks that take advantage of technologies in the field of reliable distributed computing. We work with internal partners of different Bosch business units to transfer our solutions into future products. We also actively collaborate with leading groups in academia and industry to promote research ideas and publish research findings in internationally renowned conferences and journals such as CVPR, ICRA, IROS, RSS, NeurIPS and CoRL.

As an intern in the field of End-to-end Autonomous Driving, your responsibilities will be the following:

Responsibilities

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

Requirements

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

Nice to have

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