Demo

ADAS Evaluation Engineer

Infomatics, Inc
Ann Arbor, MI Contractor
POSTED ON 4/22/2025
AVAILABLE BEFORE 5/21/2025

Position: ADAS Evaluation Engineer

Duration: 12 Months

Location: Ann Arbor MI


Job Description


What you’ll be doing


Support the evaluation and tuning of ADAS / ADS systems with a focus on North American road conditions and challenges.

Support the development and initial implementation of proof-of-concept systems.

Configure, modify, and troubleshoot test vehicles, sensors and data acquisition equipment.

Communicate performance issues through project leaders to suppliers & TMC to support proposals of appropriate countermeasures.

Implement quantitative benchmarking methods for ADAS (Advanced Driver-Assistance Systems) on competitor vehicles using GPS, camera, or other sensors.

Complete data gathering evaluations on public roads and proving grounds.

Analyze test data and make performance change recommendations to the system owners through project leaders.


Requirements:

What you bring

Experience installing, troubleshooting, and using data acquisition & testing equipment such CanAlyzer, Vbox, Panel 4, CANoie or other data acquisition equipment.

Functional knowledge of high-precision GPS systems, including differential measurements and base station corrections.

Basic proficiency in creating or modifying scripts to automatically analyze test and simulation data using MATLAB, Python, or other similar programming languages.

Bachelor’s degree in engineering or equivalent technical area.

Experience evaluating ADS or ADAS systems.


What you may bring

Experience with simulation, closed-track, or on-road verification of vehicle control systems

Experience or basic knowledge of ADAS related regulatory assessment protocol testing.

Experience or functional knowledge of cloud computing systems such as Microsoft Azure, Amazon Web Services, or equivalent.

Experience or functional kownlege of Microsoft Power Suite (PowerBI, PowerApp, PowerAutomate).

Working knowledge in the principles of radar, machine vision, and sonar.

Experience in robotics and ROS-based developments.

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