Data Analytics Engineering Intern

Data Analytics Engineering Intern - ASUX

Aptiv is a global technology company that develops safer, greener, and more connected solutions for the automotive industry. We're at the forefront of driving innovation in mobility, working with leading automakers to shape the future of transportation. If you're passionate about cutting-edge technology and want to help create the future of mobility, Aptiv is the place for you.

Your Role

Are you driven to unlock the power of data to improve real-world technologies like autonomous vehicles and advanced driver-assistance systems (ADAS)? As a Data Analytics Engineering Intern with the Advanced Safety and User Experience (ASUX) team in Troy, MI, you will support the Data Mining & Analysis (DM&A) group in analyzing vehicle sensor data and developing tools that improve traffic sign recognition, algorithm validation, and autonomous system performance. You'll contribute directly to building safer, smarter vehicles through data-driven innovation.

What You'll Do :

• Design and implement data harvesting tools to extract traffic sign information from real-world vehicle data.
• Build semi-automated ground truth validation pipelines for labeling and validating traffic sign data.
• Develop and train machine learning models for traffic sign identification and classification.
• Use tools like Python, MATLAB, SQL, and basic C / C++ to develop, analyze, and visualize datasets.
• Create a robust and searchable database to store high-quality ground truth annotations.
• Collaborate cross-functionally with algorithm, testing, and system architecture teams.
• Contribute to projects that enhance regulatory compliance, ADAS functionality, and global scalability.

What You'll Need :

What's In It For You :

Why join us?

Your Benefits at Aptiv :

Apply today, and together let's change tomorrow!

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Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.