ADAS Data Analytics Intern

Responsibilities

• Learn and work with Databricks pipelines using PySpark and SQL
• Develop high-quality Python code following software engineering best practices, including code reviews and unit testing
• Design, deploy, and integrate analytics toolchains in the cloud and within the autonomous driving fleet
• Test and validate solutions in both cloud environments and on real development vehicles
• Collaborate with international teams in an Agile/Scrum environment
• Explore AI and data science methods to derive insights from large-scale vehicle data

Requirements

• Enrolled in a degree program for Computer Science, Robotics, Electrical Engineering, or a related field
• Strong programming skills in Python (e.g., pandas, Jupyter Notebooks)
• Solid foundations in software engineering including Git, Linux, debugging, and automated testing
• Experience with data analytics environments such as Databricks, Spark, or PySpark
• Experience with Unix shell scripting to automate operating system workflows
• Good communication skills and the ability to work in a dynamic environment

Preferred Qualifications

• Hands-on experience with Apache Spark and/or Databricks
• Experience working in Linux environments
• Exposure to cloud-based data processing or large-scale data workflows
• Interest in autonomous driving, ADAS, or automotive software systems

Benefits

• Paid Time Off (PTO)
• Sick Time

About the Company

Mercedes-Benz Research & Development North America (MBRDNA) delivers world-class automotive technologies that push the boundaries of what is possible. Our teams use cutting-edge software to enhance the driving experience and reduce environmental impact, creating digital ecosystems that make cars more intelligent.