Computer Vision Engineer - Tracker

About the role

As a Computer Vision Engineer, you will join the Computer Vision Tracker team at an early stage to influence the technical direction of the group. You will focus on creating a global 3D Object Tracking pipeline at the intersection of computer vision, sensor fusion, and guidance, navigation, and control systems. This role involves working in a demanding environment to deliver mission-critical autonomous defense systems.

Responsibilities

• Research and implement state-of-the-art Computer Vision approaches to Object Tracking in multiple modalities and scenarios.
• Fuse data from multiple sensors including cameras, IMU, and radar to provide high-precision target estimation.
• Optimize and embed tracking algorithms on heterogeneous platforms with limited compute resources for real-time performance.
• Work closely with GNC, Sensor Fusion, and AI teams to integrate tracking pipelines into a production-ready environment.
• 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 skills

• Computer Vision
• Sensor Fusion
• C++
• Python
• Embedded Systems
• Object Tracking

Nice to have

• GNC
• Algorithm Optimization

Qualifications

• Degree in a STEM field (Computer Science, Robotics, Engineering, Mathematics)
• Proven track record in research, development, and productization of Computer Vision & Sensor-Fusion algorithms

About the Company

Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. The company is backed by a $200M Series B funding round and is focused on delivering mission-critical systems to allied forces.