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.