Computer Vision Engineer - Tracker
Harmattan AI27 days ago
Lausanne, SwitzerlandSenior
Responsibilities
- Research and implement classical, geometric, and AI-assisted computer vision approaches for multi-modal object tracking.
- Develop a global 3D object-tracking pipeline in collaboration with Computer Vision, Sensor Fusion, and GNC teams.
- Fuse camera, IMU, radar, and other sensor data for precise target estimation and robust tracking.
- Optimize and embed tracking algorithms on heterogeneous, compute-constrained platforms for real-time drone deployment.
- Integrate tracking pipelines into a production-ready environment and investigate advances in computer vision, tracking, and sensor fusion.
- Depending on seniority, mentor or manage junior engineers.
Requirements
- Degree in a STEM field such as Computer Science, Robotics, Engineering, or Mathematics, with a strong academic record.
- Proven experience researching, developing, and productizing computer vision and sensor-fusion algorithms in hardware-constrained environments.
- Strong proficiency in C++ and Python for real-time systems.
- Experience optimizing code for edge deployment.
- Structured, analytical, research-oriented approach and strong communication skills for explaining algorithmic trade-offs to users and senior stakeholders.
Benefits
- The role is based in Lausanne, Paris, or Zurich.
- The position offers the opportunity to influence the technical direction of an early-stage computer vision tracker team and contribute to autonomous defense systems.
About Harmattan AI
Harmattan AI builds autonomous defense systems—air and multi-domain robots and the software that coordinates them—for military and government customers. Its products span autonomy stacks for high-speed flight, guidance and control, computer vision, and radar-enabled sensing, delivered as deployable platforms and integrated software. Founded in 2024 and headquartered in Paris, the privately held company operates as a defense prime serving allied forces.