Senior Engineer, Computer Vision
Develops and integrates custom real-time computer vision algorithms and learned perception models into high-performance C++ pipelines for autonomous edge systems. Requires deep C++ and computer vision expertise, with experience in image processing, machine learning, and real-time deployment.
About the job
Responsibilities
- Design, develop, and integrate advanced computer vision algorithms into high-performance C++ software pipelines.
- Build custom perception capabilities from the ground up, emphasizing real-time performance, reliability, and deployment in edge compute environments.
- Develop and integrate learned perception models into real-time computer vision pipelines.
- Adapt detection, classification, recognition, and segmentation models for operational imagery.
- Improve model performance across varied lighting, viewpoints, backgrounds, and environmental conditions.
- Evaluate false positives and false negatives using representative datasets.
- Combine learned models with classical computer vision techniques.
- Optimize inference for edge deployment and integrate model outputs into C++ perception systems.
- Own technical work from ambiguous requirements through algorithm design, implementation, integration, and delivery.
- Collaborate with AI experts, robotics engineers, and optical engineers to deliver reliable edge solutions.
Requirements
- Degree in Computer Vision, Computer Science, Engineering, or a related technical field.
- Deep proficiency in C++, with experience developing software in high-performance, real-time environments.
- Experience designing and implementing custom computer vision algorithms from scratch.
- Foundational understanding of computer vision, image processing, and machine learning principles.
- Strong software engineering fundamentals, including data structures, algorithms, performance optimization, and version control.
- Ability to collaborate effectively with multidisciplinary, cross-functional teams.
Nice-to-haves
- 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 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.
- Experience integrating deep learning models into broader computer vision systems for real-time deployment.
- Experience in the defence sector, autonomous unmanned systems, or similar mission-critical domains.
Skills
C++, Computer Vision, Image Processing, Machine Learning, Opencv, Deep Learning, Object Detection, Object Tracking, Slam, 3D Reconstruction, Camera Calibration, Semantic Segmentation, Version Control, Data Structures, Algorithms
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