Shield AI10 jobs

Computer Vision Engineer (C++)

GraduateJuniorFull-timeOfficeMelbourne VIC, AustraliaInformation technologySoftware engineeringPosted 2 months agoVerified 1 month ago
Pending fitX of Y criteria met

About the job

The Computer Vision Engineer (C++) job at Shield AI is an exciting opportunity to contribute to innovative, real-time perception solutions for next-gen autonomous platforms. This position plays a crucial role in solving real-world defence challenges through cutting-edge vision and AI technology. The team thrives on collaboration, working alongside experts in AI and deep learning to create custom algorithms and integrate computer vision into real-time systems.

Meet the team

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Think you're a good fit?See what the hiring team are looking for

You'll be responsible for

🛠️

Designing and implementing algorithms

Design and implement novel computer vision algorithms from scratch, optimised for real-time performance.
🔧

Developing CV pipelines

Develop and maintain C++-based CV pipelines as part of autonomous mission systems.
🤝

Collaborating with teams

Collaborate with a multidisciplinary team of AI, robotics, and optical engineers to deliver reliable edge solutions.

Key criteria

💻

Deep proficiency in C++

Experience developing high-performance applications in C++.

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🔍

Custom computer vision algorithms

Strong background in designing algorithms beyond library usage.

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🖼️

Understanding of computer vision principles

Solid grasp of image processing and machine learning concepts.

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A meaningful career starts with a match

View your fit

5 criteria for this job
Deep proficiency in C++
Experience developing high-performance applications in C++.

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Custom computer vision algorithms
Strong background in designing algorithms beyond library usage.

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Understanding of computer vision principles
Solid grasp of image processing and machine learning concepts.

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Advanced degree in relevant field
Master’s or PhD in Computer Science, Engineering, or related area.

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Experience with real-time vision systems
Familiarity with object detection, SLAM, or automated surveillance.

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