Shield AI

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: This role is for a Computer Vision C++ Engineer to support the development of real-time perception capabilities for Shield AI's autonomous systems. The Computer Vision Engineer will be responsible for designing, developing, and integrating advanced computer vision algorithms into high-performance C++ software pipelines. The role will focus on building custom perception capabilities from the ground up, with an emphasis on real-time performance, reliability, and deployment in edge compute environments. This position is required to increase the team's capacity and technical depth in real-time computer vision, image processing, and applied machine learning. The successful candidate will bring strong C++ software engineering skills, experience developing high-performance or real-time systems, and a deep understanding of computer vision fundamentals. They should be capable of translating research concepts into deployable software and comfortable working on bespoke algorithms rather than relying only on existing libraries. Experience with areas such as camera calibration, multi-view geometry, geospatial registration, 3D reconstruction, image rectification, sensor alignment, coordinate transformations, or target localization would be highly valuable. The role will also 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. Familiarity with photogrammetry, epipolar geometry, bundle adjustment, terrain or map-based registration, and deployment of geometry algorithms into real-time C++ systems would be beneficial. Candidates with a Master's or PhD in Computer Science, Engineering, Robotics, Computer Vision, Geomatics, Photogrammetry, or a related field would be well aligned with the technical needs of the team, though strong applied industry experience is also highly relevant. Required qualifications: Degree in Computer Vision, Computer Science, Engineering, or related technical field. Deep proficiency in C++, with proven experience developing software in high-performance, real-time environments. Demonstrated experience designing and implementing custom computer vision algorithms from scratch, rather than exclusively applying existing libraries. Solid foundational understanding of computer vision, image processing, and machine learning principles. Strong software engineering fundamentals, including data structures, algorithms, performance optimization, and version control. Proven ability to own technical work from ambiguous requirements through algorithm design, implementation, integration, and delivery. Ability to collaborate effectively with multidisciplinary cross-functional teams, including AI experts, robotics engineers, and optical engineers, to deliver reliable edge solutions. Preferred qualifications: We do not expect candidates to have all of the following. Experience in any of these areas will help you stand out. Master’s or PhD in Computer Science, Engineering, or a related field. Experience with object detection, target tracking, 3D reconstruction, SLAM, camera calibration, or behaviour analysis. Background in automated video surveillance or other related real-time vision systems. Familiarity with industry-standard vision toolkits, such as OpenCV. Exposure to deep learning methodologies for image classification, recognition, or sequence modelling. Practical experience integrating deep learning models into broader computer vision systems for real-time deployment scenarios. Previous experience in the Defence sector, autonomous unmanned systems, or similar mission-critical domains.

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: This role is for a Computer Vision C++ Engineer to support the development of real-time perception capabilities for Shield AI's autonomous systems. The Computer Vision Engineer will be responsible for designing, developing, and integrating advanced computer vision algorithms into high-performance C++ software pipelines. The role will focus on building custom perception capabilities from the ground up, with an emphasis on real-time performance, reliability, and deployment in edge compute environments. This position is required to increase the team's capacity and technical depth in real-time computer vision, image processing, and applied machine learning. The successful candidate will bring strong C++ software engineering skills, experience developing high-performance or real-time systems, and a deep understanding of computer vision fundamentals. They should be capable of translating research concepts into deployable software and comfortable working on bespoke algorithms rather than relying only on existing libraries. Experience with areas such as object detection, image classification, target recognition, semantic segmentation, feature extraction, object tracking, video analytics, dataset curation, model evaluation, or deployment of trained perception models would be highly valuable. The role will also support the development and integration of learned perception models into real-time computer vision pipelines. This may include adapting detection, classification, recognition, or segmentation models for operational imagery; improving model performance across varied lighting, viewpoint, background, and environmental conditions; evaluating false positives and false negatives; and working with representative datasets to improve robustness. Familiarity with combining learned models with classical computer vision techniques, optimizing inference for edge deployment, and integrating model outputs into C++ perception systems would be beneficial. Candidates with a Master's or PhD in Computer Science, Engineering, Robotics, Computer Vision, Machine Learning, or a related field would be well aligned with the technical needs of the team, though strong applied industry experience is also highly relevant. Required qualifications: Degree in Computer Vision, Computer Science, Engineering, or related technical field. Deep proficiency in C++, with proven experience developing software in high-performance, real-time environments. Demonstrated experience designing and implementing custom computer vision algorithms from scratch, rather than exclusively applying existing libraries. Solid foundational understanding of computer vision, image processing, and machine learning principles. Strong software engineering fundamentals, including data structures, algorithms, performance optimization, and version control. Proven ability to own technical work from ambiguous requirements through algorithm design, implementation, integration, and delivery. Ability to collaborate effectively with multidisciplinary cross-functional teams, including AI experts, robotics engineers, and optical engineers, to deliver reliable edge solutions. Preferred qualifications: We do not expect candidates to have all of the following. Experience in any of these areas will help you stand out. Master’s or PhD in Computer Science, Engineering, or a related field. Experience with object detection, target tracking, 3D reconstruction, SLAM, camera calibration, or behaviour analysis. Background in automated video surveillance or other related real-time vision systems. Familiarity with industry-standard vision toolkits, such as OpenCV. Exposure to deep learning methodologies for image classification, recognition, or sequence modelling. Practical experience integrating deep learning models into broader computer vision systems for real-time deployment scenarios. Previous experience in the Defence sector, autonomous unmanned systems, or similar mission-critical domains.

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: This role is for a Computer Vision C++ Engineer to support the development of real-time perception capabilities for Shield AI's autonomous systems. The Computer Vision Engineer will be responsible for designing, developing, and integrating advanced computer vision algorithms into high-performance C++ software pipelines. The role will focus on building custom perception capabilities from the ground up, with an emphasis on real-time performance, reliability, and deployment in edge compute environments. This position is required to increase the team's capacity and technical depth in real-time computer vision, image processing, and applied machine learning. The successful candidate will bring strong C++ software engineering skills, experience developing high-performance or real-time systems, and a deep understanding of computer vision fundamentals. They should be capable of translating research concepts into deployable software and comfortable working on bespoke algorithms rather than relying only on existing libraries. Experience with areas such as visual SLAM, visual odometry, target tracking, feature detection and matching, 3D reconstruction, state estimation, sensor fusion, or real-time mapping would be highly valuable. The role will also support the development of tracking and spatial perception pipelines for autonomous systems, including applications such as visual localization, motion estimation, scene reconstruction, landmark tracking, map building, and perception-assisted navigation. Familiarity with SLAM frameworks, probabilistic estimation, optimization, bundle adjustment, feature-based and direct methods, and deployment of real-time perception algorithms into C++ edge environments would be beneficial. Candidates with a Master's or PhD in Computer Science, Engineering, Robotics, Computer Vision, Autonomous Systems, or a related field would be well aligned with the technical needs of the team, though strong applied industry experience is also highly relevant. Required qualifications: Degree in Computer Vision, Computer Science, Engineering, or related technical field. Deep proficiency in C++, with proven experience developing software in high-performance, real-time environments. Demonstrated experience designing and implementing custom computer vision algorithms from scratch, rather than exclusively applying existing libraries. Solid foundational understanding of computer vision, image processing, and machine learning principles. Strong software engineering fundamentals, including data structures, algorithms, performance optimization, and version control. Proven ability to own technical work from ambiguous requirements through algorithm design, implementation, integration, and delivery. Ability to collaborate effectively with multidisciplinary cross-functional teams, including AI experts, robotics engineers, and optical engineers, to deliver reliable edge solutions. Preferred qualifications: We do not expect candidates to have all of the following. Experience in any of these areas will help you stand out. Master’s or PhD in Computer Science, Engineering, or a related field. Experience with object detection, target tracking, 3D reconstruction, SLAM, camera calibration, or behaviour analysis. Background in automated video surveillance or other related real-time vision systems. Familiarity with industry-standard vision toolkits, such as OpenCV. Exposure to deep learning methodologies for image classification, recognition, or sequence modelling. Practical experience integrating deep learning models into broader computer vision systems for real-time deployment scenarios. Previous experience in the Defence sector, autonomous unmanned systems, or similar mission-critical domains.

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. We’re looking for a Computer Vision Engineer (C++) to join our team in Port Melbourne, contributing to the development of innovative, real-time perception solutions for next-gen autonomous platforms. Whether you're a recent PhD graduate or a seasoned commercial developer, this is an opportunity to help solve real-world defence challenges using cutting-edge vision and AI technology. You’ll be part of a team developing custom algorithms - not just applying libraries - and will work alongside expert AI and deep learning engineers to integrate CV into real-time pipelines across a range of unmanned systems. What You'll Do: Design and implement novel computer vision algorithms from scratch, optimised for real-time performance. Develop and maintain C++-based CV pipelines as part of autonomous mission systems. Collaborate with a multidisciplinary team of AI, robotics, and optical engineers to deliver reliable edge solutions. Support the integration of deep learning models into broader CV systems, working closely with AI experts. Stay across current academic research and emerging techniques in computer vision and ML. What You'll Bring: Deep proficiency in C++ and comfortable working in high-performance real-time environments. Strong experience writing custom computer vision algorithms, beyond just library use. Solid understanding of computer vision, image processing, and machine learning principles. Bonus Points For: Experience in any of the following: Object detection, target tracking, or 3D reconstruction. SLAM, camera calibration, or behaviour analysis. Automated video surveillance or other related real-time vision systems. Familiarity with OpenCV and similar vision toolkits. Exposure to deep learning for image classification, recognition, or sequence modelling. Interest in combining deep learning and CV pipelines in real-time deployment scenarios. Master’s or PhD in Computer Science, Engineering, or a related field. Previous Defence experience is highly desirable. Why Shield AI? Build mission-critical vision and autonomy systems that make a real-world impact. Collaborate with some of the best minds in AI, autonomy, and defence technology. Hybrid role based in our Port Melbourne office. Salary + equity for permanent roles, with a strong career development pathway.