Computer Vision Engineer (VIO)

Harmattan Ai·Lausannemid

In short

→Desarrollar y optimizar algoritmos de odometría visual-inercial (VIO) en plataformas embebidas.
→Trabajar en la detección de obstáculos, calibración de cámaras y emparejamiento entre frames en entornos reales y simulados.
→Destaque: trabajar en sistemas de defensa autónomos con impacto real, tras una ronda de financiación de $200M.

English speaking

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The questions they'll ask you

1. ¿Cómo implementarías el emparejamiento de características entre frames en un sistema de VIO en tiempo real?

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💵 USD · Remote · No visa

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What they ask for

✓Master en Robótica, Física, Ciencias de la Computación o área relacionada
✓Experiencia práctica con VIO en proyectos reales
✓Dominio de Python y C++
✓Fundamentos matemáticos sólidos
✓Experiencia con cámaras estéreo y calibración intrínseca/extrínseca
✓Capacidad de trabajo en equipo y comunicación efectiva

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

Visual Inertial Odometry (VIO)Stereo VisionCamera CalibrationC++PythonEmbedded SystemsSimulation EnvironmentsReal-World TestingAlgorithm OptimizationCross-Team Collaboration

Who should you write to at Harmattan Ai?

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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 We are looking for a Computer Vision Engineer to contribute to the development of the front-end of our visual inertial odometry (VIO) algorithmic stack. Responsibilities VIO Front-end Algorithm development: Matching between frames and stereo pairs Calibration of cameras intrinsic and extrinsic parameters Detection of obstruction Implementation and optimization of the algorithmic stack for our embedded platforms Testing, Validation & Monitoring: algorithms testing in simulation and real-world environments, development of inspection and monitoring tools.. Cross-Team Collaboration: Work closely with system engineers, optical engineers, software engineers. Communicate findings effectively to stakeholders. Requirements Educational Background : Master’s degree in Robotics, Physics, Computer Science or related field, PhD is a plus Technical Expertise : Strong mathematical foundations, coding skills in both Python and C++ Hands-on VIO project experience . Experience with VIO on industrial products is a huge plus. Passion for Computer Vision and Robotics Strong Communication & Teamwork : Ability to collaborate effectively with diverse teams Commitment : 100% dedication to Harmattan’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence. We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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