Senior Computer Vision Engineer

Level: 8+ Years

Position Overview

Core Responsibilities

• Design and develop cutting-edge visual object tracking and image processing algorithms.
• Implement image correction techniques including Bad Pixel Correction, NUC, and thermal calibration.
• Execute calibration procedures such as factory-line NUC table generation and environmental compensation.
• Develop and optimize tracking algorithms (e.g., correlation filters, deep learning-based, feature-based).
• Integrate tracking solutions into real-time embedded systems with low-latency performance.
• Collaborate with cross-functional teams for seamless hardware-software integration.
• Implement sensor fusion strategies using data from cameras, lidar, and other sensors.
• Enhance trackers to adapt to dynamic environments (lighting, weather, terrain).
• Apply machine learning to enable adaptive tracking in evolving scenarios.
• Benchmark and evaluate algorithm performance for unmanned applications.
• Optimize algorithms for resource-constrained environments.

Supporting Responsibilities

• Conduct lab and field tests to validate image quality and thermal sensitivity.
• Document algorithms, methodologies, and integration processes.
• Design and execute testing protocols for real-world validation.
• Contribute to technical reports and documentation.
• Maintain disciplined coding practices including commenting and bug tracking.
• Mentor and train junior engineers.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related fields.
• 8+ years of experience in computer vision and image processing.

Key Skills

• Proficient in C/C++ and Python.
• Strong knowledge of machine learning and tracking algorithms.
• Experience with CUDA and NVIDIA platforms.
• Skilled in deploying algorithms on DSPs and FPGAs.
• Familiar with version control systems and code maintenance.
• Excellent communication skills in English.