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ADAS Evaluation Engineer
Job in
Ann Arbor, Washtenaw County, Michigan, 48113, USA
Listed on 2026-09-13
Listing for:
Tata Technologies
Full Time
position Listed on 2026-09-13
Job specializations:
-
Engineering
Systems Engineer
Job Description & How to Apply Below
- 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.
- Requirements:
- Experience installing, troubleshooting, and using data acquisition & testing equipment such Can Alyzer, 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.
- 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 basic 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
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