Computer Vision Engineer - Real-Time 3D Tracking & Edge AI

Harmattan AI; Vaud; On-site; CHF 120,000 - 180,000; Full time

Job summary

Harmattan AI is seeking a Computer Vision Engineer to join the Computer Vision Tracker team at an early stage. Based in Lausanne, Paris, or Zurich, you will help shape a global 3D object tracking pipeline at the intersection of computer vision, sensor fusion and GNC.

You will develop state-of-the-art tracking algorithms, fuse data from cameras, IMU and radar, and optimize for real-time performance on edge devices.

Qualifications

• Degree in 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.

Responsibilities

• Research and implement state-of-the-art CV approaches to Object Tracking across modalities.
• Fuse data from cameras, IMU, radar and other sensors for high-precision tracking.
• Optimize tracking algorithms for edge deployment on heterogeneous platforms with limited compute
• Collaborate with GNC, Sensor Fusion, and AI teams to integrate tracking pipelines into production-ready environment.
• Stay at the forefront of CV, tracking algorithms, and sensor fusion and propose cutting-edge methodologies.
• Mentor junior engineers as needed.

Skills

C++

Python

Real-time systems

Education

Degree in STEM

Job description

Harmattan AI is seeking a Computer Vision Engineer to join the Computer Vision Tracker team at an early stage. Based in Lausanne, Paris, or Zurich, you will help shape a global 3D object tracking pipeline at the intersection of computer vision, sensor fusion and GNC.

You will develop state-of-the-art tracking algorithms, fuse data from cameras, IMU and radar, and optimize for real-time performance on edge devices.