Computer Vision Engineer for VIO Front-End

Signal Processing Engineer (RF Processing & Analytics); Paris; On-site; EUR 70,000 - 110,000; Full time

Job summary

Harmattan AI is seeking a Computer Vision Engineer to contribute to the front-end of our visual inertial odometry (VIO) stack on embedded platforms. You will advance frame matching, camera calibration, and obstruction detection in collaboration with systems, optics, and software teams.

Ideal candidates hold a Master’s in Robotics, Physics, or CS (PhD a plus) with strong Python and C++ skills, hands-on VIO experience, and a passion for robotics and autonomous defense technology.

Qualifications

• Master’s degree in Robotics, Physics, Computer Science or related field.
• Strong mathematical foundations and coding skills in Python and C++.
• Hands-on VIO project experience; experience with VIO on industrial products is a plus.
• Passion for Computer Vision and Robotics.
• Strong communication and teamwork; ability to collaborate with diverse teams.
• 100% dedication to Harmattan’s mission and goals.

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 embedded platforms.
• Testing, validation and monitoring: algorithms testing in simulation and real-world environments, development of inspection and monitoring tools.
• Cross-team collaboration with system, optical and software engineers; communicate findings to stakeholders.

Skills

Python

C++

VIO

Computer Vision

Robotics

Communication

Teamwork

Education

Master’s degree in Robotics, Physics, Computer Science or related field

PhD is a plus

Tools

Python

C++

Job description

Harmattan AI is seeking a Computer Vision Engineer to contribute to the front-end of our visual inertial odometry (VIO) stack on embedded platforms. You will advance frame matching, camera calibration, and obstruction detection in collaboration with systems, optics, and software teams.

Ideal candidates hold a Master’s in Robotics, Physics, or CS (PhD a plus) with strong Python and C++ skills, hands-on VIO experience, and a passion for robotics and autonomous defense technology.