ADAS Driver in Loop Simulation Engineer

Job Overview

At Ford, you’ll work on ideas that matter, alongside passionate people who want to make a global impact. Together, we’re shaping the next era of transportation—grounded in purpose, driven by progress. Make your move.

Job Details

• Job Type: Full time
• Work Type: Hybrid

Responsibilities

• Lead Driver-In-Loop (DiL) Simulator development and testing to support the development and sign-off of ADAS features
• Contribute to development of simulation platform to support cross-tool SiL, DiL, HiL virtual validation methods
• Develop new DiL solutions for feature development and validation, combining simulation with traditional vehicle testing methods on vehicle simulators
• Closely coordinate with feature development engineers to support execution of design verification plans to ensure proper feature-level performance
• Conduct customer-level algorithm and calibration clinic studies to satisfy vehicle-level performance requirements
• Create virtual roads and scenarios for robust testing of ADAS features (Regulatory, Functional, Performance, Real World)
• Develop and integrate camera, radar, and ultrasonic sensor stimulation and simulation tools to support testing of new and existing ADAS features
• Collaborate cross-functionally with technical specialists, product owners, developers, simulation, HIL, and vehicle test teams to establish tools and test procedures that improve efficiency of and enable new test cases for vehicle level testing
• Develop Python tools for data collection and analysis
• Grow and demonstrate technical leadership amongst a team of highly energized and collaborative peers in a fast-paced environment

Qualifications

• Bachelor’s Degree in Computer Science, Mechanical Engineering, Electrical Engineering, Computer Engineering, or related field or a combination of education and equivalent experience
• 2-5 years of experience developing/testing features in related vehicle systems (vehicle dynamics, body, electrical, chassis, powertrain)
• 2-5 years of experience with at least one scripting or programming language (e.g., C, C++, Python, JavaScript, etc.)

Preferred Qualifications

• Master’s degree in Mechanical Engineering, Electrical Engineering, Computer Engineering, in Computer Science, or related field
• Experience in DiL (Driver-in-the-loop) simulators (VI-Grade, Ansible, RTI, Rexroth, etc.)
• Experience with real-time computing (Concurrent Simulation Workbench, other.)
• Experience with HIL (Hardware-in-the-Loop) or SIL (Software-in-the-Loop)
• Experience with ADAS and/or vehicle dynamics simulation tools (CarMaker, CarSim, monoDrive, Unreal, etc.)
• Experience developing software within standard methodologies (Agile, Waterfall, DevOps, and Lean)
• Troubleshooting experience with electromechanical systems
• Experience using typical automotive interfaces: CAN, CANFD, Autosar, Auto-Ethernet, etc.
• Experience using Vector CANape, CANalyzer or similar tools
• Analytical and creative problem-solving skills
• Exposure to vehicle attributes development (e.g. ADAS, vehicle dynamics, steering/chassis systems, etc.)
• Experience leading the validation and verification of ADAS sensing systems
• Experience with computer vision & radar tracking of humans, vehicles, static roadway obstacles or other typical road objects
• Experience with computer vision detection & tracking of signs, lights, lanes and other key artifacts
• Experience with MATLAB/Simulink
• Experience in verification techniques (design verification methods, vehicle data acquisition/analysis)
• Strong leadership skills, passion for quality, passion to improve customer satisfaction
• Good communications and project management skills
• Strong oral & written skills
• Ability to work both independently and take initiative when necessary
• Strong teamwork & interpersonal skills