Senior Engineer, Computer Vision (C++) (R5195)

The role

This role builds real-time computer vision capabilities for Shield AI's autonomous systems. The engineer designs and integrates vision algorithms into high-performance C++ pipelines for edge compute.

What you will do

• Design, develop, and integrate computer vision algorithms into high-performance C++ software pipelines
• Build custom perception capabilities from the ground up with a focus on real-time performance, reliability, and edge deployment
• Adapt detection, classification, recognition, or segmentation models for operational imagery
• Improve model performance across varied lighting, viewpoint, background, and environmental conditions
• Evaluate false positives and false negatives and work with representative datasets to improve robustness
• Optimize inference for edge deployment and integrate model outputs into C++ perception systems
• Translate research concepts into deployable software
• Own technical work from ambiguous requirements through design, implementation, integration, and delivery
• Collaborate with AI experts, robotics engineers, and optical engineers

Required qualifications

• Degree in Computer Vision, Computer Science, Engineering, or related technical field
• Deep proficiency in C++ with experience in high-performance, real-time environments
• Demonstrated experience designing and implementing custom computer vision algorithms from scratch
• Solid foundational understanding of computer vision, image processing, and machine learning
• Strong software engineering fundamentals: data structures, algorithms, performance optimization, and version control
• Proven ability to own technical work from ambiguous requirements through delivery
• Ability to collaborate effectively with multidisciplinary cross-functional teams
• A cleared background is required for any offer

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 real-time vision systems
• Familiarity with OpenCV
• Exposure to deep learning for image classification, recognition, or sequence modelling
• Practical experience integrating deep learning models into real-time vision systems
• Experience in the defence sector, autonomous unmanned systems, or similar mission-critical domains

Before you apply

• Offers are contingent on a cleared background
• Offers are contingent on a possible reference check

About the company

Shield AI is a venture-backed defense-tech company that builds intelligent systems to protect service members and civilians. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation technologies.