Location: Budapest, Hungary

Developing automated driving requires a complete, mature toolchain to collect, generate, use, and manage the data needed for a safe and robust solution. aiData is the most advanced, data-driven pipeline for automated driving that reduces the complexity of the processing with high automatization while still ensuring automotive quality.

Since accurate understanding of the vehicle's surroundings is at the heart of self-driving applications, detecting and providing 3D properties of the objects surrounding the car is one of the fundamental building blocks in delivering a reliable autonomous vehicle. To enable high-quality detections, error-free training data for neural networks is essential.

As a Research Engineer in the aiNotate team, you will be participating in prototyping new solutions, porting prototypes as reliable modules into the auto-annotation pipeline, generating training data for neural networks used in real-time self-driving applications, and improving and benchmarking existing solutions. Your solution will work in different environments (e.g., highways, rural, and urban), and you will see your code running in aiMotive's and its customer's data pipeline.