Senior SLAM & Calibration Engineer (Robotics)

Location: On-site in Toronto GTA or New York, with periodic travel to the hardware site

Compensation: CA$200,000–CA$230,000 annually, plus equity and potential benefits.

Company

hirify.global builds data infrastructure for robotics and embodied AI, including data capture, labeling, and hardware-enabled workflows for AI labs and robotics companies.

What you will do

• Own continuous, in-pipeline camera calibration using hardware-synchronized video and IMU recordings.
• Rebuild and harden video-based calibration refinement across the fleet, including monocular wrist-camera workflows.
• Build fleet-wide monitoring, metrics, calibration databases, and version history to detect drift and flag devices for recall.
• Maintain and improve SLAM/VIO systems and expose calibration-related error as a first-class output.
• Coordinate with factory-calibration and hardware teams on camera intrinsics, extrinsics, IMU parameters, synchronization, and validation runs.
• Develop interactive Rerun and Gradio tools for trajectories, reprojection error, drift, and per-device calibration metrics.

Requirements

• On-site availability in Toronto GTA or New York, with periodic travel to the hardware site.
• 5+ years of hands-on experience building, maintaining, or improving production SLAM, visual-inertial odometry, and Structure-from-Motion pipelines.
• Experience with continuous camera and IMU calibration, including extrinsics, intrinsics and their limits, IMU noise and bias, lens distortion, and temporal synchronization.
• Strong understanding of multi-view geometry, linear algebra, optimization, and spatial tracking.
• Clean, efficient, scalable C++ and Python engineering skills.
• Ability to specify calibration requirements clearly to hardware teams across time zones.

Nice to have

• Experience with markerless or video-based calibration refinement.
• Experience with Kalibr, GTSAM, Ceres Solver, OpenCV, COLMAP, PyTorch, or FFmpeg.
• Experience with fleet observability, calibration databases, versioning, ML infrastructure, or large-scale data pipelines.
• Experience with Rerun, Gradio dashboards, trajectory tools, or dataset browsers.

Culture & Benefits

• Production-focused work involving real hardware-synchronized recordings and physical devices.
• Collaboration with CVML, factory-calibration, hardware, operations, and research teams.
• Equity in addition to base compensation.
• Health and wellness benefits and other company programs may be included in the total rewards package.
• Inclusive hiring practices and interview accommodations are available.