Mecka AI
Online Calibration & SLAM Engineer
$200K–$230K
Toronto GTA +1 · Hybrid · Full-time · Posted Oct 1, 2026
- Location
- Toronto GTA
New York - Experience
- 5+ years of hands-on experience building, maintaining, or improving SLAM, visual-inertial odometry, and Structure-from-Motion pipelines, including production systems.
About the job
Build and operate production systems that refine camera calibration online, monitor calibration drift across a robotics device fleet, and support these systems with SLAM/VIO and diagnostic tools.
What you'll do
- Develop continuous camera calibration and harden video-based refinement using real fleet recordings and benchmarks.
- Create fleet monitoring, calibration metrics, database/version history, and tools for operations and researchers.
- Maintain SLAM/VIO foundations and coordinate calibration requirements and device validation with hardware teams.
What they ask for
- Hands-on production experience with SLAM, VIO, and SfM pipelines.
- Experience with online or continuous calibration and camera/IMU calibration, including synchronization and sensor limitations.
- Strong understanding of multi-view geometry, linear algebra, and optimization.
- Clean, efficient, scalable C++ and Python; ability to specify requirements to cross-time-zone hardware teams.
Nice to have
- Experience with video-based or markerless calibration; tools such as Kalibr, GTSAM, or Ceres Solver.
- Experience with fleet observability, spatial tooling, or ML infrastructure and data pipelines at scale.
Pay
CA$200K – CA$230K (base salary); Offers Equity
Tools
C++, Python, Rerun, Gradio, Kalibr, GTSAM, Ceres Solver, OpenCV
AI focus
Develop production calibration and SLAM/VIO systems for robotics and embodied AI devices.
Model-written summary · the original posting is authoritative