Arctic Perception Engineer: Edge ML for Autonomous Systems

Arctic Perception Engineer: Edge ML for Autonomous Systems

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and deploy perception pipelines for autonomous systems in extreme cold environments.
  • Company: Arctic Research and Development, a leader in innovative technology.
  • Benefits: Competitive salary, hands-on experience, and opportunities for field testing.
  • Other info: Exciting field deployments and collaboration with cross-functional teams.
  • Why this job: Join a pioneering team and make a real impact on autonomous technology in challenging conditions.
  • Qualifications: Experience in machine learning and sensor data fusion is essential.

The predicted salary is between 63000 - 77000 Β£ per year.

Arctic Research and Development in the UK seeks a Perception Engineer to design and deploy perception pipelines for autonomous platforms operating in extreme cold.

You will fuse multi-modal sensor data and build ML models for ice and terrain, while collaborating with cross-functional teams to field-test in Arctic environments.

This role demands hands-on work with real sensors and field deployments.

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Arctic Perception Engineer: Edge ML for Autonomous Systems employer: Arctic Research and Development

At ARD, we pride ourselves on being an exceptional employer, offering a mission-driven culture that prioritises real-world impact over hours logged. As a Product Security Engineer, you'll enjoy competitive compensation, equity options, and the unique opportunity to work in one of the most challenging environments on Earth, with travel to Arctic sites that enrich your experience. Our small team structure ensures that your contributions are valued and have a direct influence on our innovative solutions, fostering both personal and professional growth in a supportive atmosphere.

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Contact Details:

Arctic Research and Development Recruitment Team

We think you need these skills to ace Arctic Perception Engineer: Edge ML for Autonomous Systems

Perception Pipeline Design
Multi-Modal Sensor Data Fusion
Machine Learning Model Development
Field Testing in Extreme Environments
Collaboration with Cross-Functional Teams
Hands-On Experience with Sensors
Deployment of Autonomous Systems