Job Title: SLAM Expert
Location: Vapi, Gujarat
Employment Type: Full-Time
Overview
We are seeking a skilled SLAM Expert responsible for localization and mapping, including visual(-inertial), LiDAR, and multi-sensor fusion, as well as dense and semantic mapping. The role involves developing robust SLAM systems for various robotics platforms.
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
Interested candidates may apply by sending their resume and cover letter to parijat.patel@merai.co with the subject line: “SLAM Expert Application” .
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