Mercedes-Benz Research & Development North America
Automotive
ADASDataAnalyticsIntern
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“ADAS Data Analytics Intern at Mercedes-Benz Research & Development North America. Skills: Databricks pipelines, PySpark, SQL, Python code development, Analytics toolchains, Cloud data processing, Large-scale data workflows, AI and data science methods. Support and drive software development for automated analysis of live data. Develop tools to evaluate an entire fleet of automated vehicles”
What You'll Achieve.
Bring SAE Level L2-L4 autonomous vehicles to the market safely; Enable the operation of our AD fleet at large scale; Deliver measurable, customer focused value
Industry & Context.
Solving open-ended technical challenges
What They're Looking For.
Must Have
Enrolled in a degree in Computer Science, Robotics, Electrical Engineering, or a related field, 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 automated 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
Nice to Have
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
What You'll Do.
Support and drive software development for automated analysis of live data
Develop tools to evaluate an entire fleet of automated vehicles
Automate data driven workflows in Databricks
Learn and work with Databricks pipelines using PySpark and SQL
Develop high quality Python code
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
Explore the application of AI and data science methods to derive insights from large scale vehicle data
How You'll Work.
Team & Collaboration
Collaborate with international teams and development partners across regions; Work in an Agile/Scrum environment
Communication Scope
Good communication skills; Ability to formulate thoughts and ideas precisely in verbal and written form
Process & Methodology
Agile/Scrum environment
Full Job Description
## Description At Mercedes-Benz Research & Development North America (MBRDNA), we are committed to delivering world-class automotive technologies that push the boundaries of what is possible. Our teams of highly skilled engineers and designers use cutting-edge software and technology, to enhance the driving experience and reduce environmental impact. Automated analytics for data streamed from development fleets are at the backbone of fast and secure development of tomorrow’s ADAS and autonomous driving systems. As leader in these fields, Mercedes-Benz is on the forefront of new developments in this area. This role will support and drive the software development for the automated analysis of live data in order to bring SAE Level L2-L4 autonomous vehicles to the market safely. The focus of this internship will be to develop tools to evaluate an entire fleet of automated vehicles and to automate this data driven workflows in Databricks to enable the operation of our AD fleet at large scale. This internship will start in August of 2026 and go through the fall. ## Job 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 ## Minimum 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
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