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Paid Internship
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Required Degree
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11Open Positions

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Working Student: Vehicle Operator & Data Analytics – Autonomous Driving

Aptiv
Found 1 month ago
Location
Wuppertal, Germany
Duration (Months)
3 Months
Time
Not disclosed
Work Mode
On-site
Salary
Paid hourly
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Data Analytics
  • ADAS/Autonomous Driving concepts
  • ACC
  • AEB/PEB
  • Lane Keeping / Highway Assist
  • Sensor perception (camera, radar, LiDAR)
  • Python
  • data analysis

Soft Skills

  • Curious mindset
  • Analytical thinker
  • Hands-on learner
  • Resilient
  • Clear communicator

Job Description

The Vehicle Operator & Data Analytics role supports Aptiv’s Autonomous Driving development by capturing high-quality driving data and providing meaningful insights to engineering teams. You will operate test vehicles across Wuppertal and the NRW region—an area ideal for ADAS/AD testing due to its mix of Urban environments, Narrow and hilly roads, Tunnels, bridges, sharp, curvature and varied traffic conditions. This role is ideal for students interested in Autonomous Driving, ADAS validation, vehicle testing, and data analytics. You will gain hands-on experience with cutting-edge AD systems in real-world environments. Key Responsibilities Vehicle Operations Safely drive prototype-level ADAS/AD vehicles across Wuppertal and nearby cities (Düsseldorf, Cologne, Dortmund, Essen, Solingen). Operate on defined and exploratory routes with changing road topology, weather, and traffic conditions with Route Intelligance Tool at Aptiv Maintain full readiness to take over control when the system disengages—smoothly and without over-correction. Data Collection & Equipment Handling Operate in-vehicle DAQ (Data Acquisition) systems: start/stop logs, event tagging, monitoring sensors, and simple debugging. Follow daily test plans, perform vehicle readiness checks, and ensure high-quality data capture. Feedback & Observation Provide structured, objective feedback about vehicle behavior, near-miss situations, system hesitation, or unexpected actions. Identify environment types that commonly challenge AD systems (e.g., Wuppertal’s sharp curves, elevation changes, pedestrian crossings). Data Analytics & Safety Evaluation Analyze human-driving vs. AD system driving behavior. Potential and related events-collision safety-Non, Safety interventions Support investigations of collision scenarios Contribute to defining scenario-based metrice for German/European driving conditions (e.g., based metrics-scenario Contribute to defining Autobahn merging, roundabouts, bike lanes).

Requirements

  • Strong and responsible driving habits valid EU B-class driver’s license with no major accident class driver’s license-valid EU BStrong and responsible driving habits history.
  • 2+ years of driving or vehicle testing experience (university projects acceptable).
  • High situational awareness and ability to multitask while driving.
  • Strong communication skills with the ability to give clear feedback.

Related Field

  • Software Engineering

Related Subfield

  • Software QA & Testing

Languages

  • English

Nice to Haves

  • Basic Python or data analysis exposure
▶Apply Now

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