Senior Engineer - Computer Vision (Analytics)

About EDGE:

EDGE is an advanced technology group established to develop disruptive solutions for defense and beyond. Solving real world challenges, it is dedicated to bringing innovative technologies and services to market with greater speed and efficiency. Our people are at the core of our business, inspiring us to imagine a new world of endless possibilities. Leveraging advanced technologies such as autonomous capabilities, cyber-physical systems and directed energy to artificial intelligence, we recognize that changing the fundamentals of the defense industry will take real collaboration and creativity.

This is why we want you to be a part of our initiative Advanced Concepts. Join us today to enable a secure future.

Top Technical Requirements:

• Design and develop cutting-edge visual object tracking and image processing algorithms to enable precise and robust object tracking for unmanned systems over embedded hardware.
• Implement and optimize tracking techniques such as correlation filters, deep learning-based trackers, and feature-based methods.
• Integrate visual tracking algorithms into real-time systems for unmanned platforms, ensuring low-latency and high-performance tracking capabilities.
• Collaborate with hardware and software teams to optimize the integration of tracking solutions with onboard processing units.
• Develop and implement sensor fusion strategies to combine data from various sensors (e.g., cameras, lidar) for improved tracking accuracy and reliability.
• Enhance visual trackers to adapt to dynamic and challenging environmental conditions, such as changes in lighting, weather, and terrain.
• Implement machine learning and deep learning techniques to enable trackers to learn and adapt to new scenarios over time.
• Conduct thorough benchmarking of visual tracking algorithms, comparing performance metrics and assessing their suitability for specific unmanned applications.
• Optimize tracking algorithms for resource-constrained environments, ensuring efficient utilization of computational resources on unmanned platforms.
• Engage in continuous research to explore and apply state-of-the-art tracking methodologies to unmanned systems.
• Document tracking algorithms, methodologies, and integration processes comprehensively.
• Design and execute extensive testing protocols to validate the reliability and accuracy of visual tracking algorithms in real-world scenarios.
• Contribute to the creation of technical reports and project documentation
• Code writing discipline such as commenting and bug tracking
• Mentorship and training of junior technical personnel.
   

Knowledge/Qualification & Experience

• Minimum 8+ years of experience in computer vision and image processing
• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering or related fields
• C/C++ and Python coding
• Machine learning and tracking algorithms
• Proficient with CUDA programming
• Familiar with NVIDIA platforms
• Version control and code maintenance
• Knowledge of ML applications
• Aware of recent updates in the research field
• Analytical approach for problem solving