How to hire slam engineers
SLAM — simultaneous localisation and mapping — builds a map of an unknown environment while tracking the sensor’s pose within it. It is the core capability that lets a robot, drone or headset operate somewhere it has never been, without external positioning infrastructure.
What the market looks like
SLAM sits at the intersection of multiple view geometry, non-linear optimisation and real-time C++, and few engineers have all three. The people who do are concentrated in a small number of robotics, AR and drone companies, and are rarely on the open market for long.
Where the candidates are
Robotics and drone companies, AR/VR platforms, autonomous vehicle localisation teams, and academic groups working on visual-inertial odometry. Contributors to ORB-SLAM, OpenVSLAM and similar projects are a productive and often overlooked pool.
How to screen for it
- Ask them to distinguish SLAM from visual odometry. Anyone who has done the work answers immediately with loop closure and global optimisation.
- Ask what breaks their system — textureless corridors, aggressive motion, dynamic scenes — and what they did about it.
- Ask how they handle initialisation and relocalisation after tracking loss.
More on this in computer vision interview questions.
Related skills
Industries hiring for this
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