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ADAS Driver in Loop Simulation Engineer

$83k - $160k

Ford Motor Company

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation. In Product Development, we bring engineering ideas to life. The ADAS Virtual Verification and Validation group develops and applies state-of-the-art tools and methods to validate ADAS features, including Driver-in-the-Loop (DiL) simulators that are interactive high‑fidelity systems integrating a human driver with vehicle simulation models and systems in real-time immersive virtual environment. These simulators aid improvements in driver interactions and experience, helping to deliver ADAS features with quality and robustness to improve customer satisfaction. Our engineers support the latest ADAS features such as Blue Cruise (BC), System Initiated Lane Change (SILC) and Lane Keeping Aid (LKA). What You’ll Do 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. You’ll Have 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.). Even Better, You May Have Master’s degree in Mechanical Engineering, Electrical Engineering, Computer Engineering, 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. As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including: Immediate medical, dental, vision and prescription drug coverage. Flexible family care days, paid parental leave, new parent ramp‑up programs, subsidized back‑up child care and more. Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more. Vehicle discount program for employees and family members and management leases. Tuition assistance. Established and active employee resource groups. Paid time off for individual and team community service. A generous schedule of paid holidays, including the week between Christmas and New Year’s Day. Paid time off and the option to purchase additional vacation time. This position is a salary grade 6‑8 and ranges from $83,000 – $160,000. Visa sponsorship is available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. This position is hybrid (onsite four days per week). #J-18808-Ljbffr Ford Motor Company

Vacancy posted 1 day ago
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