SLAM Expert Application

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Overview

SLAM Expert

Key Responsibilities

• Architect multi-modal SLAM systems (VIO/LIO/VLIO) with loop closure and relocalization.
• Build scalable map stores, implement change detection, and support lifelong mapping.
• Ensure tight integration with perception (semantic) and planning (topological/metric) modules.
• Collaborate with cross-functional teams to deploy SLAM in real-world robotic systems.

Must-Haves

• 2–3+ years of experience in SLAM or related domains.
• Strong programming skills in C++/Rust and CUDA.
• Expertise in factor graphs, optimization, and observability analysis.
• Ability to ensure robustness to dynamics, low-texture environments, and varying lighting/weather conditions.

Nice-to-Haves

• Experience with multi-robot SLAM and cloud mapping.
• Knowledge of GNSS/RTK fusion.
• Familiarity with HD maps and lane-level precision for automotive applications.

Success Metrics

• Absolute Trajectory Error (ATE) / Relative Pose Error (RPE).
• Relocalization latency.
• Map freshness and size.
• System failure rate.

Domain Notes

Humanoids:

- Handheld/tool tracking indoors.

AGVs (Autonomous Ground Vehicles):

- Operation in GNSS-denied environments, reflective floors, and pallet occlusions.

Cars:

- HD/L3 mapping with lane-level precision.

Drones:

- GPS-denied VIO, loop closure at altitude.

Application Instructions

parijat.patel@merai.co