ADAS Data Analytics Intern

Summary: Mercedes-Benz Research & Development North America (MBRDNA) is committed to delivering world-class automotive technologies. This internship role focuses on developing tools for automated analysis of live data to support the software development for autonomous driving systems. Responsibilities: - Learn and work with Databricks pipelines using PySpark and SQL - Develop high quality Python code following software engineering best practices (code reviews, clean design, refactoring, unit and regression testing) - Design, deploy, and integrate analytics toolchains in the cloud and within the autonomous driving fleet - Test and validate solutions both in cloud environments and on real development vehicles - Collaborate with international teams and development partners across regions - Work in an Agile/Scrum environment to deliver measurable, customer focused value - Explore the application of AI and data science methods to derive insights from large scale vehicle data Required Qualifications: - Enrolled in a degree in Computer Science, Robotics, Electrical Engineering, or a related field - Strong programming skills in Python (e.g., pandas, Jupyter Notebooks) - Solid foundations in software engineering (Git, Linux, debugging, automated testing, basic design principles) - Experience with data analytics environments like Databricks, Spark or Pyspark - Experience with scripting languages to automate operation system workflows in Unix environments (e.g. shell script) - Experience with agile software development methods - Good communication skills, ability to formulate thoughts and ideas precisely in verbal and written form - Ability to work in a dynamic environment with changing boundary conditions 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 - Curiosity, self-motivation, and enthusiasm for solving open-ended technical challenges - Interest in autonomous driving, ADAS, or automotive software systems Required Skills: Python, pandas, Jupyter Notebooks, Git, Linux, Debugging, Automated testing, Databricks, Spark, PySpark, Shell scripting, Agile software development Benefits: PTO, Sick Time