Computer Vision Engineer - Tracker

About Us Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. About the Role As a Computer Vision Engineer in the Computer Vision Tracker team , you will join us at a very early stage, giving you a unique opportunity to heavily influence the technical direction of the team. Operating out of Lausanne, Paris, or Zurich, you will focus on creating a global 3D Object Tracking pipeline, at the intersection between the Computer Vision, Sensor Fusion and GNC teams. Responsibilities Computer Vision Algorithm Development: Research and implement state-of-the-art Computer Vision approaches to Object Tracking in multiple modalities and scenarios, combining classical and geometrical methods with AI detection models developed in-house. Multi-Sensor Fusion: Fuse data from multiple sensors (Cameras, IMU, Radar, etc.) to provide high-precision target estimation and robust tracking through challenging conditions. Edge Optimization for Low-Compute Deployment: Optimize and embed tracking algorithms on heterogeneous platforms with limited compute resources, ensuring real-time performance alongside other software bricks running on the drone. Cross-Team Collaboration: Work closely with the GNC, Sensor Fusion, and AI teams to integrate your tracking pipelines into a seamless, production-ready environment. R esearch & Innovation: Stay at the absolute forefront of scientific trends in computer vision, tracking algorithms, and sensor fusion to introduce cutting-edge methodologies to the product. Mentorship: Depending on seniority, support the team by managing or mentoring junior engineers. Candidate Requirements Educational Background: A strong academic record with a degree in a STEM field (e.g., Computer Science, Robotics, Engineering, Mathematics). Embedded Algorithmic Expertise: Proven track record in the research, development, and productization of Computer Vision & Sensor-Fusion algorithms in hardware-constrained environments. Technical Competence: 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, with the ability to effectively translate and present complex algorithmic trade-offs to downstream users and senior stakeholders. Thrives under pressure in a fast-paced environment with a “no-task-is-too-small” mentality toward building foundational team infrastructure. Commitment: 1