Senior Deep Learning Engineer – Autonomous Driving

Cubane Solutions AB; Göteborgs kommun; On-site; SEK 700,000 - 1,000,000; Full time

Job summary

Cubane Solutions AB is seeking a capable ML/dL engineer to develop and optimize models for end-to-end driving in a fast-paced data environment.

The role emphasizes spatio-temporal neural networks, scalable data pipelines, and production-ready models. You will work with transformers and RNNs, and collaborate across teams to deploy solutions in real-world scenarios.

Qualifications

• Proficiency in Python demonstrated through production or research projects.
• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Strong proficiency in C++ and software engineering practices.
• Solid understanding of statistics and geometry for model evaluation and geometry-aware methods.
• Analytical and problem-solving skills with ability to collaborate effectively.

Responsibilities

• Develop and optimize deep learning models for end-to-end driving.
• Design and work with spatio-temporal neural networks.
• Build scalable data processing and model training pipelines.
• Train models on large-scale datasets and integrate into production systems.
• Experiment with architectures like transformers and RNNs.
• Collaborate with specialist teams to deploy models in real-world scenarios.

Skills

Python

C++

Deep learning

PyTorch

TensorFlow

Data engineering

Statistics

Geometry

Problem solving

Collaboration

Job description

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.