ADAS Evaluation Engineer

• Openings: 1

What you’ll be doing

• Conduct Software-in-the-Loop (SILs) & Hardware-in-the-Loop testing of latest Electronics & ADAS systems software release.
• Configure, modify, and troubleshoot SILs/HILs test benches, test vehicles, sensors, and data acquisition systems.
• 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.

What you bring

• Experience 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 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.
• Working knowledge in the principles of radar, machine vision, and sonar.
• Experience in robotics and ROS-based developments