Autonomous Vehicle Test & Data Analyst

Intern or Student Position – Vehicle Operator & Data Analytics – Autonomous Driving

Location:

Troy MI USA

Position Type:
Student / Intern / Working Student

The Vehicle Operator & Data Analytics role supports Autonomous Driving development by capturing high-quality driving data and providing meaningful insights to engineering teams. You will operate test vehicles across USA regions in 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.

• Vehicle Operations:
  • Safely drive prototype‑level ADAS/AD vehicles across the USA and nearby cities.
  • Operate on defined and exploratory routes with changing road topology, weather, and traffic conditions using the 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., sharp curves, elevation changes, pedestrian crossings).
• Data Analytics & Safety Evaluation:
  • Analyze human‑driving vs. AD system driving behavior.
  • Support investigations of safety interventions, non‑collision safety‑related events, and potential collision scenarios.
  • Contribute to defining scenario‑based metrics for German/European driving conditions (e.g., Autobahn merging, roundabouts, bike lanes).
  • Assist with data‑driven decisions based on large datasets.

• Strong and responsible driving habits; valid EU B‑class driver’s license with no major accident 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.

• Currently pursuing a BS or MS in Engineering, Computer Science, Electrical, Mobility, Robotics, or Data Science.
• Understanding of ADAS/Autonomous Driving concepts: ACC, AEB/PEB, Lane Keeping/Highway Assist.
• Sensor perception (camera, radar, LiDAR) knowledge.
• Knowledge of roads, geography, and driving challenges around the USA.
• Experience giving structured feedback or conducting test drives.
• Ability to interpret sensor or vehicle performance data.
• Basic Python or data analysis exposure (optional but beneficial).

• Curious mindset: naturally ask why things happen.
• Analytical thinker: able to break down complex behavior logically.
• Hands‑on learner: comfortable learning by doing and experimenting.
• Resilient: views challenges as opportunities to improve.
• Clear communicator: able to summarize observations concisely.

• Experience with real ADAS/AD systems used globally.
• Exposure to vehicle data pipelines, DM&A workflows, and test engineering.
• Understanding of German/European road complexities in AD driving.
• Close collaboration with engineering teams in Germany, Poland, the US, and India.
• A strong foundation for a future career in Autonomous Driving, Robotics, or Data Analytics.