Data Analytics Engineer - ADAS & Automated Driving
Aptiv (company site, opens in a new tab)2+ yrsBengaluruOn-siteDirect career pageEst. 8–16 LPA
Posted 7h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead vehicle data mining and exploratory analysis using Python and data-science tools on AWS/Azure HPC platforms.
- Support AI/ML validation workflows for ADAS features, including dataset exploration, labeling, and ML performance metric review.
- Perform embedded-level debugging and vehicle testing/data collection to support root-cause analysis and ensure data quality for ADAS systems.
Minimum Requirements
- Bachelor’s or Master’s degree in Data Science, Computer Engineering, Electrical/Embedded Systems Engineering, or Automotive/Systems Engineering.
- Minimum 2 years of experience with proficiency in Python, vehicle communication protocols (CAN, Ethernet), and data science tools.
- Experience with vehicle instrumentation and a clear understanding of embedded systems fundamentals (ECUs, signals, logs).
- Familiarity with MATLAB, Machine Learning Algorithms, DBQL/SQL, and Linux.
Ideal Candidate Profile
- Experienced in hands-on vehicle data analysis and embedded systems debugging within ADAS/autonomous driving context.
- Able to collaborate with cross-functional teams following ADAS V-cycle development and validation processes.
- Comfortable working on cloud HPC platforms (AWS/Azure) and supporting AI/ML validation workflows with structured problem-solving approach.