4 months ago
Melbourne, AustraliaStaff+
Responsibilities
- Design, develop, and integrate custom computer vision algorithms into high-performance, real-time C++ software pipelines.
- Build geometry-based perception capabilities including camera modeling, intrinsic and extrinsic calibration, image-to-world projection, geolocation from imagery, visual registration, and multi-sensor spatial alignment.
- Translate research concepts into reliable, deployable software for edge computing environments.
- Own technical work from ambiguous requirements through algorithm design, implementation, integration, and delivery.
- Collaborate with AI experts, robotics engineers, optical engineers, and other multidisciplinary teams.
Requirements
- Bachelor’s degree in Computer Vision, Computer Science, Engineering, or a related technical field.
- Deep proficiency in C++ and demonstrated experience developing software in high-performance, real-time environments.
- Experience designing and implementing custom computer vision algorithms from scratch.
- Strong foundations in computer vision, image processing, and machine learning principles.
- Strong software engineering fundamentals, including data structures, algorithms, performance optimization, and version control.
- Preferred qualifications include a Master’s or PhD, experience with object detection, target tracking, 3D reconstruction, SLAM, camera calibration, behavior analysis, or real-time vision systems.
- Preferred experience includes OpenCV, deep learning methods and integration, defense or autonomous unmanned systems, and other mission-critical domains.
Tech Stack
C++OpenCV
Categories
Robotics
About Shield AI
Shield AI builds autonomous systems for military and national security customers, combining its Hivemind autonomy software with V-BAT and X-BAT unmanned aircraft and Aechelon simulation technologies. The privately held company sells hardware, software, and related services to U.S. and allied defense agencies. Founded in 2015 and headquartered in San Diego, it operates across the U.S., Europe, the Middle East, and Asia-Pacific, and its technology is used in operational deployments.