About the Role
The newly shaped Software Organization is seeking brilliant AI/AD Sensor Simulation Engineers to join the Autonomous Driving software team. As an AI/AD Sensor Simulation Engineer, you will be required to develop validated simulation solutions with realistic 3D virtual environment and physics-based sensor models aimed at generating high-fidelity synthetic data to train, test and validate perception systems. You will also work on the deployment of these solutions for large-scale simulations on-premise and on-cloud platforms, and on the integration with Real-Time Reprocessing and HiL benches.
Basic Qualifications
- Master’s Degree in Complex System Physics, Robotics, Mechatronics, Computer Engineering, Computer Science or related field
- Experience with simulation software for self-driving cars (e.g. Spectral, dSpace, CarMaker, Carla)
- Experience with realistic virtual environments based on game engine technology (e.g. Unity and Unreal)
- Good knowledge of the physical properties and technologies of ADAS/AD sensors
- Knowledge of ADAS/AD systems, components and features
- Proficient in Linux OS
- Good programming skills in Matlab/Simulink
- Experience with modeling and simulation of physical plant models for ADAS/AD xIL platforms
- Good programming skills in C# and Python
- Knowledge of operating system virtualization (e.g. Docker and Kubernetes)
- Excellent communication, collaboration, analytical and problem-solving skills
- Fluent in English
Nice to have
- A PhD in a related field
- Knowledge of optical design softwares (e.g. Speos) to simulate system’s optical performance and evaluates 3D light propagation
- Knowledge of 3D electromagnetic (EM) simulation softwares (e.g. Ansys HFSS, …) to design and simulate high frequency electronic products (e.g. antennas, RF components, …)
- Knowledge of HW devices technology (e.g. PLD, FPGA, …) for raw data injection on sensors ECUs
- Knowledge of Git/GitHub or other versioning tools
- Knowledge of algorithms for environment detection (e.g. object tracking, free space estimation)
- Knowledge of automotive network technologies, measuring technology, trace analytics
- Knowledge of machine learning concepts and tools, applied to computer vision, neural networks, object recognition, decision making and/or training
- Good programming skills in C++