Computer Vision

What if the algorithms you build don’t just run in simulation, but actually see, understand, and navigate the real world?

At M-ECS, you’ll turn perception algorithms into robust, real-time systems that help make off-highway vehicles and other robotic platforms autonomous. You’ll work at the intersection of computer vision, robotics and embedded systems, helping machines understand their surroundings and operate autonomously in demanding industrial and heavy-field environments.

You’ll be part of the team shaping the next generation of autonomous machines, turning bold ideas into technology that works in the field.

You’ll see your work move from algorithm machine real-world impact

YOUR ROLE, YOUR IMPACT.

As a hands-on Computer Vision & Perception Engineer, you’ll help build the perception capabilities that enable autonomous machines to operate safely and reliably in demanding real-world environments, from off-highway vehicles to other robotic platforms.

Key responsibilities:

• Developing perception capabilities for object detection, classification, multi-object tracking, depth estimation, and 3D reconstructions.
• Processing and fusing sensor data from cameras, LiDAR, radar and GNSS/IMU systems to create reliable, real-time machine awareness.
• Contributing to SLAM and localization systems that help machines understand where they are and where they’re going.
• Optimizing algorithms for real-time execution on embedded and GPU platforms.
• Bringing algorithms to life by integrating perception into machine control and navigation systems.
• Testing and validating your work on real machines together with System Engineers.
• Debugging and optimizing perception systems during field testing.