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Ford Motor Company · 20 hours ago

ADAS Virtual Validation Engineer

Dearborn, MI

Full-time

Hybrid

Entry, Mid Level

2+ years exp

Ford Motor Company is dedicated to delivering a fully electric transportation future through its Electric Vehicles, Digital and Design (EVDD) team. The ADAS Virtual Validation Engineer will lead simulation efforts for Advanced Driver Assistance Systems, transitioning physical vehicle testing to simulation-based methods while ensuring the delivery of high-quality ADAS features.

AutomotiveAutonomous VehiclesManufacturingTransportation

No H1B

Responsibilities

Lead simulation for ADAS/AV feature development and vehicle programs validation & sign-off

Lead transition of physical vehicle testing to simulation-based virtual methods

Perform closed-loop full vehicle simulation to accelerate iterative testing of ADAS features

Integrate multiple ECU models for full vehicle SiL testing

Debug and support resolution of SWC issues to deliver ADAS features quality

Create virtual roads and scenarios for robust testing of ADAS features (corporate test procedures, Regulatory, Real World)

Develop, validate and deploy simulation tooling and processes for ADAS features iterative testing and program validation

Work with the Ford Vehicle in the Loop, Hardware in the Loop, Simulator and Ford vehicle test teams to establish simulation procedures to reduce dependency on vehicle level testing

Qualification

ADAS simulation softwareC++ programmingPython programmingCI/CD platformsModel-based developmentVehicle network protocolsADAS/AV technologiesSimulation tooling developmentAgile methodologyCommunication skills

Required

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a combination of education and equivalent experience

2+ years of experience with ADAS simulation software (CarMaker, CarSim or similar)

1+ experience in CI/CD platforms like Github Actions or Jenkins

2+ years of hands-on validation experience and/or theoretical algorithm experience

1+ years of experience with vehicle network (CAN, CAN FD, TCP/IP, ethernet etc.)

1+ years of experience in design, development, or testing with ADAS/AV technologies

1+ years of experience in model-based development using Simulink

2+ years of professional programming experience with C++ or Python

Development knowledge with ADAS common feature applications (Forward Collision Warning/Braking, Adaptive Cruise Control, Blind Spot Monitoring Systems, Lane Warning/Keeping)

Preferred

Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field

4+ years of experience in software development using C++

3+ years of ADAS/AV software development experience

2+ years of experience with Linux or Virtual Machines

Experience ADAS/AV enablers: camera, radar, ultrasonic and LiDAR sensing, senor fusion, image processing, artificial intelligence and machine learning

Experience in data acquisition of vehicle networks and ECU internal data

Experience in software simulation for automated systems (ADAS, Autonomy, robotics, etc.)

Expertise in Classic and/or Adaptive AUTOSAR

Experience working within an Agile Software Development Methodology

Strong written and verbal communication

Experience in working with HIL platforms