ADAS Environment Simulation Lead

Role Overview: We are seeking a highly skilled and motivated ADAS Environment Simulation Lead to drive the development, validation, and optimization of high-fidelity simulation environments for AD/ADAS systems. You will play a key role in developing realistic simulation scenarios and sensor models to support the testing and validation of advanced driver assistance and autonomous driving features. Key Responsibilities: Lead the design and development of realistic and scalable simulation environments for AD/ADAS testing. Implement and manage environment and sensor simulations using Unreal Engine 5 , dSPACE ModelDesk & AURELION , and CarMaker . Design and execute virtual test scenarios for camera, radar, and LiDAR sensor systems. Ensure high fidelity of simulated data by validating models against real-world measurement data. Collaborate with perception, sensor fusion, and software teams to integrate simulation into the AD/ADAS development pipeline. Drive continuous improvement of simulation fidelity, performance, and scalability. Document and report simulation results, analysis, and insights to cross-functional stakeholders. Required Skills & Qualifications: Mandatory: Proven experience with Unreal Engine 5 for 3D environment simulation. Strong hands-on experience with dSPACE ModelDesk and AURELION , as well as CarMaker . Solid technical understanding of perception sensors (camera, radar, lidar). Working knowledge of automated driving technologies and system architectures. Experience in model validation and comparing simulated results to real-world measurement data. Strong analytical, problem-solving, and debugging skills. Excellent communication and leadership abilities.