Staff Real-Time C++ Computer Vision Engineer in Melbourne

Staff Real-Time C++ Computer Vision Engineer in Melbourne

Melbourne Full-Time 90000 - 110000 $ / year (est.) On-site
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At a Glance

  • Tasks: Design and develop real-time perception capabilities for autonomous systems using C++.
  • Company: Shield AI, a cutting-edge tech company in Melbourne.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and real-world impact.
  • Why this job: Join a team pushing the boundaries of AI and robotics in exciting environments.
  • Qualifications: Experience in C++ and a passion for computer vision and robotics.

The predicted salary is between 90000 - 110000 $ per year.

Shield AI in Melbourne is seeking a Computer Vision C++ Engineer to design, develop, and deploy real-time perception capabilities for autonomous systems.

You will build high-performance C++ pipelines and push edge compute solutions for robust operation in challenging environments.

You will collaborate with AI, robotics, and optical engineers on bespoke algorithms, camera calibration, SLAM, and multi-sensor fusion, turning research into reliable production software.

Staff Real-Time C++ Computer Vision Engineer in Melbourne employer: Shield

At Shield AI, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our Melbourne office provides unique opportunities for professional growth in the defence-tech sector, with access to cutting-edge technology and a commitment to employee development. Join us to be part of a mission-driven team dedicated to protecting service members and civilians worldwide.

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Contact Details:

Shield Recruitment Team

We think you need these skills to ace Staff Real-Time C++ Computer Vision Engineer in Melbourne

C++ Programming
Computer Vision
Real-Time Systems
Algorithm Development
Camera Calibration
SLAM (Simultaneous Localization and Mapping)
Multi-Sensor Fusion