CW ADAS (Advanced Driver-Assistance Systems) and ADS (Automated Driving Systems) Evaluation Engineer (99W207)
Apply NowCompany: eShocan
Location: Ann Arbor, MI 48103
Description:
Description:
Who we're looking for
Toyota's Integrated Vehicle Systems (IVS) Department is looking for a passionate and highly motivated ADS (Automated Driving Systems) Evaluation Engineer to join us in creating the future of mobility as we develop next-generation Automated Driving Systems (ADS) and Advanced Driver Assistance Systems (ADAS).
The primary responsibility of this role is to work with evaluation engineers to define performance KPIs for evaluation current and future ADAS (Advanced Driver-Assistance Systems). Example activities include preparing systems, tools, python code, data architeture for evaluation drives as well completing and analyzing collected data from such drives.
We are looking for people who have experience with simulated and in-vehicle evaluation of ADS/ADAS. We want to find those who demonstrate customer-first thinking, partners with internal and external teams, and the ability to proactively and aggressively deliver quality products to our customers.
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.
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.
Who we're looking for
Toyota's Integrated Vehicle Systems (IVS) Department is looking for a passionate and highly motivated ADS (Automated Driving Systems) Evaluation Engineer to join us in creating the future of mobility as we develop next-generation Automated Driving Systems (ADS) and Advanced Driver Assistance Systems (ADAS).
The primary responsibility of this role is to work with evaluation engineers to define performance KPIs for evaluation current and future ADAS (Advanced Driver-Assistance Systems). Example activities include preparing systems, tools, python code, data architeture for evaluation drives as well completing and analyzing collected data from such drives.
We are looking for people who have experience with simulated and in-vehicle evaluation of ADS/ADAS. We want to find those who demonstrate customer-first thinking, partners with internal and external teams, and the ability to proactively and aggressively deliver quality products to our customers.
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.
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.