Online Calibration & SLAM Engineer

About the role

Mecka AI is building the data infrastructure layer for robotics and embodied AI, designing and operating global systems for data capture, labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems. The Senior SLAM & Calibration Engineer will own how Mecka's devices stay calibrated after they leave the factory, building systems that catch and correct drift from camera and IMU changes, warp mounts, and ensure calibration across the fleet.

Responsibilities

• Develop and maintain continuous, in‑pipeline camera calibration that refines extrinsics from recorded, hardware‑synced, uncompressed video and IMU.
• Fix and harden the video‑based calibration refinement system across the fleet, including the monocular wrist‑cam path, and drive it against real benchmarks.
• Build monitoring and metrics tracking that detects calibration drift across every device, flags devices for recall, and owns the calibration database and version history.
• Maintain and improve the SLAM/VIO that online calibration rides on, and have it emit calibration‑related error as a first‑class output.
• Coordinate with the factory‑calibration engineer and the China hardware team on intrinsics limits, IMU noise and bias parameters, temporal synchronization, and validation runs that avoid local minima.
• Ship interactive tools (Rerun / Gradio) that visualize trajectories, drift over time, reprojection error, and per‑device calibration metrics for operations and researchers.

Requirements

• 5+ years of hands‑on experience building, maintaining, or improving SLAM, visual‑inertial odometry, and Structure‑from‑Motion pipelines running in production.
• Hands‑on experience with online or continuous calibration and rigorous camera + IMU calibration: extrinsics, intrinsics and their limits, IMU noise density and random‑walk bias, lens‑distortion models, and temporal synchronization.
• Comfortable owning calibration across many noisy, real‑world devices and building monitoring that catches drift before customers do.
• Intuitive grasp of the linear algebra, optimization, and first principles behind spatial tracking.
• Clean, efficient, scalable C++ and Python engineering.
• Ability to specify calibration requirements clearly to a hardware team across time zones.

Skills

• Markerless/video‑based calibration experience (nice‑to‑have).
• Familiarity with calibration frameworks such as Kalibr, GTSAM, or Ceres Solver.
• Experience with OpenCV, COLMAP, PyTorch, FFmpeg.
• Fleet observability: calibration databases, versioning, monitoring at scale.
• Spatial tooling: Rerun, Gradio dashboards, trajectory and dataset browsers.
• ML infrastructure or data pipelines that operate at scale.

Pay

Compensation range: CA$200K – CA$230K.

Schedule

On‑site role with periodic travel to the hardware site.