Spatial Problem Solver

6 days ago


Sydney, New South Wales, Australia beBeeComputerVision Full time $115,000 - $140,000
Job Opportunity

We are seeking a skilled Spatial Problem Solver to join our growing AI and Computer Vision group. This role will contribute to the development and optimization of our production-grade computer vision software, supporting core capabilities across 3D reconstruction, image processing, and photogrammetry.

You'll be part of a high-calibre technical team, working on complex spatial problems that directly impact how industries make decisions at scale.

Key Responsibilities
  • Develop and maintain robust computer vision software using modern C++.

  • Design and maintain testing frameworks for code quality and system performance.

  • Contribute to technical documentation, QA metrics, and development best practices.

  • Participate in feature design, roadmap planning, and sprint prioritisation.

  • Collaborate with teams across Capture Systems and Global Content Operations.

  • Stay up to date with emerging techniques in computer vision and image processing.

Qualifications
  • 2+ years of professional experience in software engineering, ideally with exposure to computer vision.

  • Proficient in modern C++, with a strong grasp of object-oriented principles.

  • Experience with OpenCV, OpenGL, or Qt framework.

  • Familiar with image enhancement, segmentation, or geometric computer vision techniques.

  • Strong attention to detail, clear communicator, and comfortable in a collaborative, agile environment.

  • Self-motivated, proactive, and eager to learn and contribute.

  • Bachelor's degree in Computer Science, Engineering, or a related field with a software focus.

This role is well-suited for an engineer who thrives on solving real-world spatial problems, enjoys hands-on coding in a production environment, and wants to grow alongside experienced domain experts in AI and computer vision.

We take a holistic approach to our employees' emotional, physical, and financial wellness.

About Us

We provide a virtual model of the real world – at a scale and detail that hasn't been done before. Our ambition is to be the source of truth that shapes our liveable world.



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