Computer Vision Engineer
Develops novel C++ computer vision algorithms and real-time perception pipelines for autonomous platforms. The role requires strong computer vision, image processing, machine learning, and high-performance systems expertise, with deep learning and robotics experience advantageous.
About the job
Responsibilities
- Design and implement novel computer vision algorithms from scratch, optimized for real-time performance.
- Develop and maintain C++-based computer vision pipelines for autonomous mission systems.
- Collaborate with AI, robotics, and optical engineers to deliver reliable edge solutions.
- Support integration of deep learning models into broader computer vision systems.
- Stay current with academic research and emerging computer vision and machine learning techniques.
Requirements
- Deep proficiency in C++ and experience with high-performance real-time environments.
- Strong experience writing custom computer vision algorithms beyond library use.
- Solid understanding of computer vision, image processing, and machine learning principles.
Nice-to-Haves
- Object detection, target tracking, or 3D reconstruction experience.
- Experience with SLAM, camera calibration, or behavior analysis.
- Experience with automated video surveillance or related real-time vision systems.
- Familiarity with OpenCV and similar vision toolkits.
- Exposure to deep learning for image classification, recognition, or sequence modeling.
- Interest in combining deep learning and computer vision pipelines for real-time deployment.
- Master’s or PhD in Computer Science, Engineering, or a related field.
- Previous defense experience.
Compensation and Benefits
- Salary and equity for permanent roles.
- Career development pathway.
Skills
C++, Computer Vision, Image Processing, Machine Learning, Deep Learning, Opencv, Object Detection, Target Tracking, 3D Reconstruction, Slam, Camera Calibration, Video Surveillance, Real-Time Systems, Autonomous Systems, Computer Science
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