Software Engineering Intern – AI for ADAS & Cockpit

Job Description

AI and SW Development Engineering Intern | Bosch USA

The Tone:
This is an internship at Bosch, located in the USA. At Bosch, the company invents high-quality technologies and services to enrich people’s lives across diverse areas like connected living, mobility, and industry. This role offers an unparalleled opportunity to contribute to AI-powered features for next-generation ADAS and cockpit systems. You will directly impact the future of autonomous and connected vehicles.

The TL;DR
• Role: Internship
• Location: In-person, USA
• Mission: Contribute to the development of AI-powered features for next-generation ADAS and cockpit systems, directly impacting the future of autonomous and connected vehicles.
• Tech Stack: Python, C++, AI frameworks, Git, Agile methodologies

What You’ll Actually Do
• Research: Evaluate new AI technologies and methodologies relevant to automotive applications.
• Develop: Design, develop, and test AI algorithms and models for ADAS and Cockpit features.
• Implement: Optimize software components for in-vehicle embedded platforms and high-performance computing environments.
• Document: Record technical specifications, design choices, and test plans for projects.
• Collaborate: Work with cross-functional teams and participate in code reviews, design discussions, and sprint planning meetings.

The Must-Haves
• Background: Senior-year undergraduate or graduate student pursuing a Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, or a related field, with a GPA of 3.0 or higher. Possess a solid understanding of fundamental computer science principles, including data structures and algorithms.
• Experience: Demonstrated interest and relevant coursework in Artificial Intelligence, Machine Learning, Deep Learning, or Computer Vision. Proficiency in at least one modern programming language, such as Python (highly preferred) or C++.
• Skills: Excellent problem-solving and analytical skills. Strong communication and teamwork abilities, including articulating technical concepts clearly. Ability to work independently and take initiative in a collaborative environment.
• Bonus: Prior project experience (academic or personal) involving AI, robotics, or embedded systems. Familiarity with automotive communication protocols (CAN, Ethernet). Knowledge of software development best practices, including version control with Git and Agile methodologies. Previous internship or co-op experience in a related field. Familiarity with at least one AI/ML framework.