✨ About The Role
- The role involves developing and testing machine learning models and training datasets for sensor simulation.
- Collaboration with various teams, including Sensor Simulation, Perception, and Verification & Validation, is a key aspect of the job.
- The position focuses on improving the fidelity of sensor simulation for autonomous vehicles.
- The work contributes to creating high-fidelity synthetic data for training and testing autonomous vehicle AI.
- The intern will engage in real-time sensor data generation for hardware-in-the-loop simulation.
âš¡ Requirements
- The ideal candidate should have a strong foundation in Python programming, with C++ knowledge being a plus.
- Experience with modern machine learning frameworks such as PyTorch or TensorFlow is essential.
- A solid understanding of generative AI techniques, including flow matching and diffusion, is highly desirable.
- Candidates should possess a keen interest in autonomous vehicles and their underlying technologies.
- Familiarity with RADAR or LIDAR systems and 3D graphics geometry representations will be advantageous.