Vision-Language-Navigation Systems for ADAS - Intern

We Are Bosch.

At Bosch, we shape the future by inventing high-quality technologies and services that spark
enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding
Bosch teams around the world. Their creativity is the key to innovation through connected living,
mobility, or industry.

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 robotics, automated driving and automation through key innovations that encompass system architecture and AI components. These include methods for localization, 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 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

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

The U.S. base salary range for this intern position is $39.00 - $64.00. 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. Your Hiring Manager can share more details about the specific salary range for this position during the interview process.*

BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives

• FIRST Robotics (For Inspiration and Recognition of Science and Technology)
• AWIM (A World In Motion)

Equal Opportunity Employer, including disability / veterans.

• 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.