Autonomous Evaluation Engineer

Reporting to the Senior Engineering Manager, the person in this role will support the IVS department's objective to evaluate ADAS (Advanced Driver-Assistance Systems) against performance requirements.What you'll be doingSupport 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 bringExperience installing, troubleshooting, and using data acquisition & testing equipment such CanAlyzer, Vbox, Panel 4, 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.Bachelors' degree in engineering or equivalent technical area.Experience evaluating ADS or ADAS systems.Willingness and ability to travel up to 25% (US domestic).Willingness to support in-person / on-campus work up to 100% of the time.A valid US Drivers' License.What you may bringExperience with simulation, closed-track, or on-road verification of vehicle control systemsExperience 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.Working knowledge in the principles of radar, machine vision, and sonar.Experience in robotics and ROS-based developments

Created: 2025-01-15