Senior Deep Learning Engineer – Autonomous Driving

Responsibilities

• Developing and optimizing deep learning models for end-to-end driving.
• Designing and working with spatio-temporal neural networks.
• Building scalable pipelines for data processing and model training.
• Training models on large-scale datasets and integrating them into production systems.
• Experimenting with architectures such as transformers and recurrent neural networks.
• Collaborating with other specialist teams to deploy models in real-world scenarios.

Requirements

• Deep knowledge of spatio-temporal neural networks.
• A strong background in deep learning, software development, and data engineering.
• Strong proficiency in Python.
• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Strong proficiency in C++.
• A solid understanding of statistics and geometry.
• Strong analytical and problem-solving skills, combined with the ability to collaborate effectively with others.

Desired Skills

• Transformers.
• RNNs.
• Multi-head attention.
• Perception systems, including computer vision, lidar, and radar.
• Tracking.
• Sensor fusion.