SLAM Engineer Recruiter
We find SLAM engineers for robotics and autonomy companies across the USA. Simultaneous localisation and mapping is one of the most specialised disciplines in the field.
What a SLAM engineer does
SLAM engineers build simultaneous localisation and mapping systems — visual SLAM, LiDAR SLAM, visual-inertial odometry, loop closure, map optimisation.
They enable robots to understand where they are and build representations of their environment. The skill set spans computer vision, probabilistic modelling, and real-time systems — a rare combination.
Most strong SLAM engineers have at least partial roots in academic research, but the commercial deployment context requires a different set of engineering disciplines on top.
Why this role is difficult to hire
Fewer than a few thousand practising SLAM engineers exist globally. Most sit in research labs or autonomous vehicle programmes.
Many are not actively looking. Generalist recruiters conflate SLAM with general autonomy engineering and miss the depth required.
The difference between visual odometry, full graph SLAM, and LiDAR-inertial fusion is not obvious from a CV — it requires specialist qualification to assess properly.
Where SLAM candidates work
Autonomous vehicles, warehouse AMRs, drone companies, AR/VR companies (crossover talent with different deployment context), and university robotics labs.
Often in dedicated localisation or mapping sub-teams, sometimes embedded within wider perception or autonomy functions.
Cross-border movement is common — strong SLAM engineers move between the AV sector, robotics, and research. Relocation is often part of the conversation.
How we find SLAM talent
Direct mapping of SLAM research groups, conference networks (ICRA, IROS, RSS), and commercial teams. We track who is publishing, who has shipped production SLAM systems, and who is approachable.
We do not just search LinkedIn. We work from mapped knowledge of where the talent actually sits and approach candidates with specificity and context.
Example searches
- AMR company in Austin needed a SLAM engineer experienced in degraded GPS environments. Found candidate from a mining robotics company in the Midwest, relocated to Pittsburgh.
- Series A drone startup in Seattle needed visual-inertial odometry expertise. Placed from an AR headset manufacturer — transferable skills, right depth.
- Autonomous vehicle company in San Francisco needed a SLAM lead to own the mapping stack. Sourced from a top US research group, placed within 10 weeks.
Work with a specialist robotics recruiter
If you are hiring a SLAM engineer and need a recruiter who understands localisation and mapping depth, get in touch. We will tell you quickly whether we can help.