9 months ago
Melbourne, AustraliaMid Level
Responsibilities
- Design and implement custom computer vision algorithms from scratch for real-time performance.
- Develop and maintain C++ computer vision pipelines within autonomous mission systems.
- Collaborate with AI, robotics, and optical engineers on reliable edge solutions.
- Integrate deep learning models into broader computer vision systems.
- Track academic research and emerging techniques in computer vision and machine learning.
Requirements
- Deep proficiency in C++ and comfort working in high-performance real-time environments.
- Strong experience developing custom computer vision algorithms beyond library use.
- Solid understanding of computer vision, image processing, and machine learning principles.
- Experience with object detection, target tracking, 3D reconstruction, SLAM, camera calibration, behavior analysis, automated video surveillance, or related real-time vision systems is beneficial.
- Familiarity with OpenCV and similar vision toolkits is beneficial.
- Exposure to deep learning for image classification, recognition, or sequence modeling is beneficial.
- A Master's or PhD in Computer Science, Engineering, or a related field is beneficial.
- Previous defense experience is highly desirable.
Benefits
- Hybrid role based in the Port Melbourne office.
- Salary plus equity for permanent roles.
- Career development pathway.
- Offers are contingent on a cleared background and possible reference check.
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.