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Computer Vision Engineer - Tracker

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ZurichFull-timePosted 4d ago

About the role

Role focused on building a global 3D Object Tracking pipeline at the intersection of computer vision, sensor fusion, and GNC. Early-stage team with opportunity to influence technical direction; on-site in Zurich with potential Lausanne/Paris/Zurich locations.

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.

Qualifications

  • A strong academic record with a degree in a STEM field (e.g., Computer Science, Robotics, Engineering, Mathematics).
  • Proven track record in the research, development, and productization of Computer Vision & Sensor-Fusion algorithms in hardware-constrained environments.
  • Strong proficiency in C++ and Python for real-time systems. Experience with optimizing code for edge deployment.

Skills

Required:Computer VisionSensor FusionC++PythonEdge Deployment
Last updated Oct 21, 2026. Interested? Apply on the company site.
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