Computer Vision Engineer - Tracker

Signal Processing Engineer (RF Processing & Analytics); Paris; Vor Ort; EUR 90.000 - 140.000; Vollzeit

Zusammenfassung

Harmattan AI is seeking a Computer Vision Engineer to join the tracker team at an early stage, with opportunities to influence technical direction. The role supports operating out of Lausanne, Paris, or Zurich, focusing on a global 3D Object Tracking pipeline at the intersection of CV, sensor fusion and GNC teams.

The candidate will work on research-based CV approaches, multi-sensor fusion for robust tracking, and edge deployment optimizations for drone platforms, while collaborating across

Qualifikationen

• Degree in a STEM field (e.g., Computer Science, Robotics, Engineering, Mathematics).
• Proven track record in CV & Sensor-Fusion algorithms in hardware-constrained environments.
• Strong proficiency in C++ and Python for real-time systems; experience optimizing code for edge deployment.

Aufgaben

• Develop state-of-the-art Computer Vision approaches for 3D Object Tracking across modalities.
• Fuse data from multiple sensors (camera, IMU, radar) for precise target estimation.
• Optimize and embed tracking algorithms on heterogeneous platforms with limited compute, real-time performance.
• Collaborate with GNC, Sensor Fusion, and AI teams to integrate tracking pipelines.
• Remain at the forefront of CV, tracking, and sensor fusion research and innovation.
• Mentor junior engineers depending on seniority and capacity.

Kenntnisse

C++

Python

Ausbildung

STEM degree

Tools

Edge deployment optimization

Jobbeschreibung

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: 100% dedication to Harmattan AI's mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence.