Senior Deep Learning Engineer
We usually respond within three days
Responsibilities
Model Development: Research and design advanced deep learning architectures to enhance the vehicle's perception stack.
System Design: Build neural networks for sensor fusion, object detection, scene understanding, and behavior modeling.
Pipeline Automation: Establish and manage automated training pipelines to drive continuous performance gains.
Deployment: Integrate, validate, and launch production-ready AI solutions onto the autonomous platform.
Cross-Functional Collaboration: Partner with System Engineering, Localization, and Planning teams to ensure a safe and deployable system.
Requirements
Advanced Education: PhD or a highly qualified MS in Robotics, Computer Science, AI, Mathematics, or a related field.
Industry Experience: 5+ years of experience developing machine learning solutions specifically for autonomous systems.
Mathematical Foundation: Strong expertise in linear algebra, data structures, and algorithm design.
Programming Skills: Professional proficiency in both C/C++ and Python.
Domain Passion: A dedicated interest in solving complex, real-world robotics challenges within autonomous driving.
- Department
- Information Technology
- Locations
- Stockholm
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