Shield AI20 jobs

Staff Engineer, Computer Vision (C++) (R5196)

Mid levelSeniorFull-timeOfficeMelbourne VIC, AustraliaPosted 5 days agoVerified 6 days ago
Pending fitX of Y criteria met

About the job

The job is for a Computer Vision C++ Engineer at Shield AI, a defense-tech company dedicated to protecting service members and civilians with intelligent systems. This position plays a crucial role in developing real-time perception capabilities for autonomous systems, ensuring reliability and performance in edge environments. The team values collaboration and innovation, working together to push the boundaries of technology.

Meet the team

About the company

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You'll be responsible for

🛠️

Designing computer vision algorithms

Designing, developing, and integrating advanced computer vision algorithms into high-performance C++ software pipelines.
🚀

Building perception capabilities

Focusing on building custom perception capabilities from the ground up, with an emphasis on real-time performance, reliability, and deployment in edge compute environments.
🤝

Collaborating with teams

Collaborating effectively with multidisciplinary cross-functional teams, including AI experts, robotics engineers, and optical engineers, to deliver reliable edge solutions.

Key criteria

💻

C++ programming expertise

Deep proficiency in C++ for high-performance software development.

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🔍

Computer vision algorithm design

Demonstrated experience designing custom computer vision algorithms from scratch.

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📊

Understanding of image processing

Solid foundational knowledge of image processing and machine learning principles.

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5 criteria for this job
C++ programming expertise
Deep proficiency in C++ for high-performance software development.

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Computer vision algorithm design
Demonstrated experience designing custom computer vision algorithms from scratch.

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Understanding of image processing
Solid foundational knowledge of image processing and machine learning principles.

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Collaboration skills
Proven ability to collaborate with multidisciplinary teams effectively.

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Relevant degree
Degree in Computer Vision, Computer Science, or related technical field.

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