INTERNSHIP DETAILS

ADAS Data Analytics Intern

CompanyMercedes-Benz R&D North America
LocationSan Jose
Work ModeOn Site
PostedMay 13, 2026
Internship Information
Core Responsibilities
Develop tools and automated data-driven workflows in Databricks to evaluate fleets of autonomous vehicles. Support the software development for live data analysis to safely bring SAE Level L2-L4 vehicles to market.
Internship Type
intern
Company Size
783
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Mercedes-Benz Research & Development North America (MBRDNA) is continuously striving to innovate premium mobility. It is a place for exceptional people with outstanding ideas and the absolute willingness to bring them to life. We are not about cars only - we are also about the latest and greatest software, cutting-edge technology, and groundbreaking innovation: Embedded in a worldwide network MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Consumer Research, and Open Innovation. In Redford, Michigan, the focus is on Powertrain and eDrive technology as well as in Long Beach, where the teams test durability of the latest driver assistant and telematic systems. The Digital Hub in Seattle focusses on developing a cloud architecture and building out the cloud platform for the next generation of connected car services. The Testing and Regulatory Affairs Division in Ann Arbor and the Advanced Vehicle Design in Carlsbad complete the competence center.
About the Role

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.

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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 (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


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


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Benefits/Perks:
•    PTO
•    Sick Time


Additional Information:
The current hourly rate for this position is as follows and may be modified in the future: $28 (Undergraduate Students)/$32 (Graduate Students)


Why should you apply?

Here at MBRDNA, you create digital ecosystems around cars, you design a language between humans and machines, you make a car even more intelligent - you make the new reality for cars. MBRDNA was honored as one of the "Best Places to Work" by BuiltIn in January 2024, a testament to our commitment to creating an exceptional work environment. At each of our offices, we foster a culture of collaboration and continuous learning, ensuring every team member can thrive and innovate.


Benefits for Full-Time* Employees Include:

• Medical, dental, and vision insurance for employees and their families

• 401(k) with employer match

• Up to 15 company-paid holidays

• Paid time off (flexible time off for salaried employees), sick time, and parental leave

• Tuition assistance program

• Wellness/Fitness reimbursement programs

* Internships & Contractors excluded from Full-Time Employee benefits



MBRDNA is an equal opportunity employer (EOE) and strongly supports diversity in the workforce. MBRDNA only accepts resumes from approved agencies who have a valid Agency Agreement on file. Please do not forward resumes to our applicant tracking system, MBRDNA employees, or send to any MBRDNA location.  MBRDNA is not responsible for any fees or claims related to receipt of unsolicited resumes.


Mercedes-Benz Research and Development North America, Inc.

PRIVACY NOTICE FOR CALIFORNIA RESIDENTS

https://mbrdna.com/california-employee-privacy-notice/



Key Skills
PythonPySparkSQLDatabricksApache SparkGitLinuxAgile/ScrumData AnalyticsSoftware EngineeringUnit TestingRegression TestingShell ScriptingPandasJupyter NotebooksCloud Computing
Categories
Data & AnalyticsSoftwareEngineeringTechnologyTransportation
Benefits
Paid Time OffSick Time