What are the responsibilities and job description for the ADAS Evaluation Engineer position at Tata Technologies?
- 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, CANoe 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.
- 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.
Salary : $44 - $46
