As an engineering intern for foundation model in autonomous driving, you will:

• Implement cutting edge research methods into efficient and production ready solutions to address challenges in autonomous driving systems.
• Develop scalable systems to run experiments and benchmarking in 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

• Currently enrolled in a PhD or Master’s program in Computer Science or related fields (Must be a current student)
• Hands-on experience on developing computer vision and machine learning algorithms with focus on at least two of the following areas: multimodal foundation models, vision-language-action models (VLA), diffusion models, detection/segmentation, 3D scene understanding, autonomous driving, and sensor fusion.
• Solid Python skills and proficient with libraries such as MMCV, and Py Torch.
• Minimum GPA of 3.0

Preferred Qualifications

• Experience with training codebase of popular open-source vision and foundation models.
• Familiar with SOTA vision and learning methods of multimodal LLMs, diffusion models, Diffusion Models, knowledge distillation, and so on.
• Experience in training models with reinforcement learning.
• Able to work independently, has strong research and problem-solving skills
• Strong background in math and statistics is a plus.
• 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.

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.