Job Description

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- support the development of real-time perception capabilities for Shield AI's autonomous systems.
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- designing, developing, and integrating advanced computer vision algorithms into high-performance C++ software pipelines.
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- focus on building custom perception capabilities from the ground up, with an emphasis on real-time performance, reliability, and deployment in edge compute environments.
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- increase the team's capacity and technical depth in real-time computer vision, image processing, and applied machine learning.
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- translate research concepts into deployable software and work on bespoke algorithms rather than relying only on existing libraries.
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- support the development of geometry-based computer vision pipelines, including applications such as camera modelling, intrinsic and extrinsic calibration, image-to-world projection, geolocation from imagery, visual registration, and multi-sensor spatial alignment.
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- familiarity with photogrammetry, epipolar geometry, bundle adjustment, terrain or map-based registration, and deployment of geometry algorithms into real-time C++ systems.
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Requirements

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- Degree in Computer Vision, Computer Science, Engineering, or related technical field.
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- Deep proficiency in C++, with proven experience developing software in high-performance, real-time environments.
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- Demonstrated experience designing and implementing custom computer vision algorithms from scratch, rather than exclusively applying existing libraries.
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- Solid foundational understanding of computer vision, image processing, and machine learning principles.
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- Robust software engineering fundamentals, including data structures, algorithms, performance optimization, and version control.
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- Proven ability to own technical work from ambiguous requirements through algorithm design, implementation, integration, and delivery.
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- Ability to collaborate effectively with multidisciplinary cross-functional teams, including AI experts, robotics engineers, and optical engineers,



to deliver reliable edge solutions.
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- Master's or PhD in Computer Science, Engineering, or a related field.
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- Experience with object detection, target tracking, 3D reconstruction, SLAM, camera calibration, or behaviour analysis.
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- Background in automated video surveillance or other related real-time vision systems.
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- Familiarity with industry-standard vision toolkits, such as OpenCV.
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- Exposure to deep learning methodologies for image classification, recognition, or sequence modelling.
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- Practical experience integrating deep learning models into broader computer vision systems for real-time deployment scenarios.
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- Previous experience in the Defence sector, autonomous unmanned systems, or similar mission-critical domains.
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Core Competencies

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Demonstrates expertise in developing and integrating advanced computer vision algorithms within high-performance C++ software pipelines, with a strong focus on real-time performance and reliability in edge compute environments. Proven ability to translate research concepts into deployable software and collaborate effectively with multidisciplinary teams.

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Highest-signal resume keywords

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- C++ Programming
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- Computer Vision Algorithm Development
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- Real-Time Performance Optimization
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- Machine Learning Integration
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- Collaboration with Cross-Functional Teams
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ATS Optimization Keywords

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Hard Skills

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- Computer Vision
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- Image Processing
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- Deep Learning
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- Object Detection
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- Target Tracking
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- 3D Reconstruction
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- SLAM
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- Camera Calibration
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- Performance Optimization
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- Version Control
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Soft Skills

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- Collaboration
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- Problem-Solving
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- Technical Ownership
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Certifications & Qualifications

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- Master's Degree in Computer Science
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- PhD in Engineering
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Industry Keywords

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- Autonomous Systems
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- Defence Sector
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- Automated Video Surveillance
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- Mission-Critical Domains
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Tools & Technologies

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- OpenCV
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- Geometry Algorithms
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- Real-Time Systems
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- Edge Computing
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📌 Staff Engineer, Computer Vision, C++ (Victoria)
🏢 Jobtailor
📍 Victoria