Computer Vision Engineer - Tracker
The Computer Vision Engineer will design and implement real‑time object tracking algorithms for defense systems, collaborating closely with the early‑stage Tracker team in Lausanne. The role involves building deep‑learning models using Python, PyTorch and OpenCV, optimizing them for GPU acceleration and strict performance requirements.
Skills required
About this role
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.
Research & 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: 100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence.
We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.
