Vehicle Operator and Data Analytics

Client: Automotive Technology Supplier and Provider
Title: Vehicle Operator & Data Analytics Autonomous Driving
Location: Troy, MI
Rates: $22-24/hr
Duration: 10 Months
Position Type: Student / Intern / Working Student

Benefits:

The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, (paid time , paid sick and safe time , hours of paid vacation time, weeks of paid parental leave, paid holidays annually - AS Applicable)

About the Position:

• The Vehicle Operator & Data Analytics role supports the Autonomous Driving by capturing high-quality driving data and providing meaningful insights to engineering teams.


• You will operate test vehicles across USA regions 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 USA and nearby cities


• Operate on defined and exploratory routes with changing road topology, weather, and traffic conditions with Route Intelligance Tool.


• 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.

Basic Qualifications (Need to Have):

• 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.

Preferred Qualifications:

• 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 of roads, geography, and driving challenges around 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).

Traits We re Seeking:

• Curious mindset: You 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.

What Students Will Gain:

• 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, US, and India.


• A strong foundation for a future career in Autonomous Driving, Robotics, or Data Analytics.