Senior Deep Learning Engineer

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Summary

Location

Norrtälje kommun, Sweden

Work

Full-time

Experience

5+ years

About this Job

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.

About the Company

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CO-WORKER TECHNOLOGY

Privately Held

We help organizations hire specialists within autonomous systems, industrial automation, energy systems, industrial digitalization/OT and mechanics. Embedded/Edge • AI/Data • PLC/SCADA • Sensor/IoT & Security. With offices in Sweden, Finland, and India, we combine local market expertise with global reach. Through our proven search methodology and international network, we deliver qualified candidates within 24 hours – for both permanent positions and consulting assignments, onsite or remote. We help companies find key professionals across IT, digitalization, research and development, production, and technology-driven industries. Our strength lies in building long-term partnerships, understanding complex technical requirements, and delivering flexible, high-quality solutions that drive business success. 🔹 Key Areas • RESEARCH & DEVELOPMENT • SUSTAINABLE ENERGY & AUTOMATION • IT & DIGITALIZATION • ENTERPRISE SYSTEMS • MANUFACTURING & INDUSTRIAL ENGINEERING • HEALTH TECH & INNOVATION

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