Hybrid ADAS Engineer - Model-Based Design & Simulink

Socket.dev; Dearborn (MI); Hybrid; USD 101,000 - 184,000; Full time

Benefits offered by this job

Medical, dental, prescription coverage

Parental leave & back-up care

Vehicle discount program

Tuition assistance

Paid holidays & vacation

Job summary

Ford Motor Company is seeking an ADAS Engineer in Dearborn, Michigan. This hybrid role requires residence within commuting distance to the worksite.

You will lead the design and development of ADAS features, using MATLAB/Simulink to create robust algorithms and model-based design processes for MiL development. The role demands a Master’s degree and 2 years of ADAS experience, with capabilities in radar/camera/LIDAR integration, embedded software, and CANalyzer data analysis.

Qualifications

• Master's degree or foreign equivalent in Automotive, Electrical, Mechanical Engineering, Computer Science, or related field.
• 2 years of experience with radar, camera or LIDAR integration with ADAS features.
• 1 year of experience with embedded software development and MATLAB/Simulink; C++ and model-based design.

Responsibilities

• Lead the design and development of Advanced Driver Assistance Systems (ADAS).
• Develop new control algorithms for feature function and interfaces using MATLAB/Simulink.
• Lead MiL development for Pre-Collision Assist and other ADAS features.
• Support feature specifications, FMEAs, robustness studies and DVP.

Skills

Radar/LIDAR/Camera integration

Lab/vehicle testing of ADAS

Data analysis (ADAS sensing)

Model-based design

MATLAB/Simulink

C++ programming

CAPL

In-vehicle ADAS calibration

Education

Master's degree in Automotive/Electrical/Mechanical Engineering or related field

Tools

MATLAB/Simulink

CANalyzer

CAPL

Job description

Ford Motor Company is seeking an ADAS Engineer in Dearborn, Michigan. This hybrid role requires residence within commuting distance to the worksite.

You will lead the design and development of ADAS features, using MATLAB/Simulink to create robust algorithms and model-based design processes for MiL development. The role demands a Master’s degree and 2 years of ADAS experience, with capabilities in radar/camera/LIDAR integration, embedded software, and CANalyzer data analysis.