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.
