Computer Vision Engineer - Tracker

The role

You will create a global 3D Object Tracking pipeline at the intersection of Computer Vision, Sensor Fusion, and GNC teams. You will research and implement computer vision approaches and fuse data from multiple sensors.

What you will do

• Research and implement state-of-the-art Computer Vision approaches to Object Tracking
• Fuse data from multiple sensors to provide high-precision target estimation and robust tracking
• Optimize and embed tracking algorithms on heterogeneous platforms with limited compute resources
• Work closely with the GNC, Sensor Fusion, and AI teams to integrate tracking pipelines
• Stay at the forefront of scientific trends in computer vision, tracking algorithms, and sensor fusion
• Support the team by managing or mentoring junior engineers depending on seniority

Required qualifications

• Degree in a STEM field (e.g., Computer Science, Robotics, Engineering, Mathematics)
• Proven track record in the research, development, and productization of Computer Vision & Sensor-Fusion algorithms in hardware-constrained environments
• Strong proficiency in C++ and Python for real-time systems
• Experience with optimizing code for edge deployment

Nice to have

• Highly structured, analytical, task-aligned, and research-oriented
• Excellent communication and influence skills
• Thrives under pressure in a fast-paced environment with a “no-task-is-too-small” mentality
• Commitment: 100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans

About the company

Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. The company is expanding its teams and capabilities to deliver mission-critical systems to allied forces.