Founding Computer Vision Engineer

Overview

• Join a leading technology firm as a Founding Computer Vision Engineer, driving innovation in autonomous systems and advanced UAV technologies.
• Develop cutting-edge computer vision algorithms for real-time applications, enhancing UAV detection, tracking, and navigation capabilities.
• Collaborate with multidisciplinary teams to integrate vision systems with flight controllers and autonomy frameworks for seamless functionality.
• Optimize machine learning pipelines for embedded platforms, ensuring high performance under resource constraints.
• Engage in field testing and debugging to validate system reliability and operational efficiency.
• Document technical workflows and experimental results to support ongoing development and innovation.
• Contribute to hardware integration and participate in flight tests to ensure compliance with industry standards.

Key Responsibilities & Duties

• Design and implement advanced computer vision algorithms tailored for UAV applications, focusing on real-time detection and tracking.
• Develop and optimize vision pipelines using OpenCV, CUDA, and embedded Linux platforms for efficient processing.
• Integrate vision outputs with flight controllers and onboard sensors to enhance UAV autonomy.
• Collaborate with cross-functional teams to align vision systems with overall UAV architecture.
• Conduct rigorous testing and debugging of vision systems in field and flight environments.
• Document technical workflows, system designs, and experimental findings to support future development.
• Stay updated on UAV regulations and safety practices to ensure compliance and operational integrity.

Job Requirements

• Bachelor of Science degree in a relevant field, with 3+ years of professional experience in computer vision or robotics.
• Proficiency in C++ and Python programming languages, with experience in OpenCV and CUDA frameworks.
• Hands-on experience with ArduPilot and NVIDIA Jetson platforms, including Cube Orange flight controllers.
• Strong understanding of camera models, calibration techniques, and sensor fusion methodologies.
• Experience deploying perception systems on embedded Linux platforms for UAV applications.
• Preferred knowledge of SLAM, visual odometry, VIO, and deep learning frameworks like PyTorch and TensorRT.
• Comfortable with onsite work, hardware integration, and participation in flight tests.