AI and SW Development Engineering Intern

Bosch Group•Plymouth Charter Township, MI

About The Position

We are seeking bright and ambitious Software Engineering Interns to join our dynamic team and contribute to the development of AI-powered features for our next-generation ADAS and cockpit systems. This is an unparalleled opportunity to gain hands-on experience with real-world automotive challenges, work alongside industry experts, and directly impact the future of autonomous and connected vehicles. As a Software Engineering Intern focused on AI for ADAS & Cockpit, you will: Research and evaluate new AI technologies and methodologies relevant to automotive applications. Document technical specifications, design choices, and test plans. Contribute to the design, development, and testing of AI algorithms and models for ADAS and Cockpit features. Implement and optimize software components for embedded platforms and high-performance computing environments within the vehicle. Work with various AI frameworks and tools Collaborate with cross-functional teams. Participate in code reviews, design discussions, and sprint planning meetings. Analyze and interpret data to improve model performance and system reliability.

Requirements

Currently enrolled in a Bachelor's or Master's degree program in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, or a related field.
Must be in your senior year of undergraduate studies or pursuing a graduate degree.
Strong academic record with a GPA of 3.0 or higher.
Solid understanding of fundamental computer science principles, including data structures, algorithms.
Proficiency in at least one modern programming language, such as Python (highly preferred) or C++.
Demonstrated interest and coursework in Artificial Intelligence, Machine Learning, Deep Learning, or Computer Vision.
Excellent problem-solving skills and an analytical mindset.
Strong communication and teamwork skills, with the ability to articulate technical concepts clearly.
Ability to work independently and take initiative in a fast-paced, collaborative environment.
Prior project experience (academic or personal) involving AI, robotics, or embedded systems is highly desirable.
Must be a minimum of 18 years of age

Nice To Haves

Familiarity with automotive communication protocols (CAN, Ethernet).
Knowledge of software development best practices (e.g., version control with Git, Agile methodologies).
Previous internship or co-op experience in a related field.
Passion for the automotive industry and a curiosity about the future of transportation.
Familiarity with at least one AI/ML framework is a plus.

Responsibilities

Research and evaluate new AI technologies and methodologies relevant to automotive applications.
Document technical specifications, design choices, and test plans.
Contribute to the design, development, and testing of AI algorithms and models for ADAS and Cockpit features.
Implement and optimize software components for embedded platforms and high-performance computing environments within the vehicle.
Work with various AI frameworks and tools
Collaborate with cross-functional teams.
Participate in code reviews, design discussions, and sprint planning meetings.
Analyze and interpret data to improve model performance and system reliability.