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

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 engineer will design, develop, and integrate advanced computer vision algorithms into high-performance C++ software pipelines, focusing on building custom perception capabilities from the ground up with an emphasis on real-time performance, reliability, and deployment in edge compute environments. The role also supports geometry-based computer vision pipelines, including camera modelling, calibration, image-to-world projection, geolocation, and multi-sensor spatial alignment.

Responsibilities

• 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 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.

Requirements

• 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.

Nice to have

• 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.