Edge-Optimized Computer Vision Engineer: Real-Time 3D Tracking

Harmattan AI; Lausanne; Vor Ort; CHF 120.000 - 160.000; Vollzeit

Zusammenfassung

Harmattan AI is seeking a Computer Vision Engineer based in Lausanne, Paris, or Zurich to lead the development of a global 3D Object Tracking pipeline. You will work at the intersection of CV, sensor fusion, and GNC teams on cutting-edge autonomous defense technologies.

You will contribute to research, implement state-of-the-art tracking methods, and optimize performance on edge devices while collaborating with multiple specialized teams in a fast-paced environment.

Qualifikationen

• 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.
• Nice-to-have: Excellent communication and influence skills, with the ability to translate complex algorithmic trade-offs to stakeholders.
• Nice-to-have: Thrives under pressure in a fast-paced environment with a 'no-task-is-too-small' mentality.
• Commitment: 100% dedication to Harmattan AI's mission, ready to go the extra mile to ensure operational excellence.

Aufgaben

• 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&L: 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.

Kenntnisse

C++

Python

Real-time systems

Edge deployment

Ausbildung

STEM degree

Jobbeschreibung

Harmattan AI is seeking a Computer Vision Engineer based in Lausanne, Paris, or Zurich to lead the development of a global 3D Object Tracking pipeline. You will work at the intersection of CV, sensor fusion, and GNC teams on cutting-edge autonomous defense technologies.

You will contribute to research, implement state-of-the-art tracking methods, and optimize performance on edge devices while collaborating with multiple specialized teams in a fast-paced environment.