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Aptiv

Automotive electronics and software platform provider

Data Analytics Engineer

Data AnalysisConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • A bachelor's or master's degree in a relevant field, such as Data Science, Computer Engineering, Electrical or Embedded Systems Engineering, or Automotive or Systems Engineering.
  • At least 2 years of experience and proficiency in Python, vehicle communication protocols (CAN and Ethernet), and data science tools for analytics.
  • Familiarity with MATLAB, machine learning algorithms, DBQL or SQL, and Linux.
  • Hands-on experience with vehicle instrumentation.
  • Proficiency in structured problem solving.
  • Clear understanding of embedded systems fundamentals, including ECUs, signals, and logs.

Responsibilities

  • Perform vehicle data mining and exploratory analysis using Python and data science tools.
  • Lead the DM&A team for AWS, Azure, or other high-performance computing platforms.
  • Support event extraction and triage for customer-reported and internal issues.
  • Analyze vehicle signals and logs, including CAN and Ethernet, to identify anomalies and performance concerns.
  • Apply structured problem-solving techniques to support root-cause analysis.
  • Support AI and machine-learning validation workflows for ADAS features, including dataset exploration and quality assessment, feature analysis and labeling support, and review of basic machine-learning performance metrics.
  • Assist in identifying data issues that affect machine-learning model behavior, such as noise, missing signals, and data drift.
  • Build foundational understanding of how machine-learning models interact with embedded ADAS systems.
  • Support embedded-level triage activities, including ECU log analysis, vehicle communication trace interpretation, and signal-to-algorithm correlation.
  • Assist in debugging issues that span vehicle sensors, embedded software, and analytics outputs.
  • Learn ADAS system architecture and data flow from sensor to ECU to analytics to validation.
  • Participate in hands-on vehicle testing and data collection under guidance of senior engineers.
  • Support vehicle instrumentation, logging setup, and data validation.
  • Help ensure collected data meets analysis and validation requirements.
  • Work closely with algorithm development teams, systems and validation engineers, and project and engineering managers.
  • Follow established ADAS V-cycle development, validation, and documentation processes.
  • Contribute to continuous improvement of data analysis tools and workflows.

Desired Qualifications

  • Academic or project experience in AI or machine learning, ADAS or autonomous driving systems, and vehicle data analytics.
  • Exposure to vehicle communication protocols (CAN and Ethernet), embedded debugging (logs, traces, and signal analysis), MATLAB, basic C or C++, or signal processing.
  • Familiarity with automotive tools such as CANalyzer or CANoe, software-in-the-loop (SIL) or simulation environments, and Agile or Scrum development practices.

About the Company

Aptiv

Automotive electronics and software platform provider

Aptiv provides the electronic brain and nervous system for modern vehicles, powering features from active safety to software-defined vehicle architecture. Its products sit in the car’s electronics stack, enabling connectivity, advanced safety, electrification, and autonomous capabilities through computer modules, software, and embedded systems. Unlike traditional auto parts suppliers, Aptiv focused its business on high-tech automotive electronics and software, after spinning off its legacy powertrain unit in 2017 and rebranding from Delphi. It expands its capabilities through strategic acquisitions such as nuTonomy (self-driving tech) in 2017 and Wind River (edge software) in 2022, and created Motional, a joint venture with Hyundai to commercialize autonomous driving. Aptiv’s goal is to be a leading technology partner for automakers by delivering the core intelligence for next-generation vehicles, including safety, connectivity, electrification, and autonomous driving.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1994

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