Mapping Analyst - Contract (6 months)

Position Overview

Simbe Robotics is seeking a Mapping Analyst, on a contract basis, to own the integrity of the SLAM maps that power navigation for our deployed Tally robot fleet.

Responsibilities

• Map Health Monitoring
• Maintain map quality and drift indicators across the fleet
• Identify stores with localized failures, delocalization events, or navigation errors indicating a degraded or outdated map
• Remote SLAM Map Generation
• Control robots in-store using proprietary tooling to drive fresh SLAM mapping traversals when a store's map needs to be rebuilt from scratch
• Map Patching from Historical Scans
• Pull lidar scans from previous traversals and use them to patch, extend, or correct sections of an existing map without requiring a full remap, minimizing on-site disruption
• Manual Map Editing
• Use photo/image editing software to clean up, align, and splice map segments — correcting artifacts, merging patched regions seamlessly, and removing transient obstacles or scan noise that automated processing didn't catch
• Quality Assurance
• Validate patched and newly generated maps against navigation performance before deployment, confirming that fixes resolve the underlying localization issue rather than masking it
• Tooling Feedback
• Work closely with Engineering to flag gaps in the mapping toolchain and inform improvements to automated map-patching and SLAM pipeline tools
• Incident Documentation
• Log mapping-related incidents, root causes, and resolutions in internal tracking systems, and contribute to playbooks for common map failure patterns
• Cross-Functional Coordination
• Partner with Robot Operations, Client Success, and Engineering to prioritize which stores need mapping attention and to communicate expected timelines for fixes

Qualifications

• 1-3 years of experience in a technical, spatial-data, robotics, or GIS-adjacent role
• Comfort with remote robot operation or teleoperation tools, or strong aptitude to learn proprietary robotics tooling quickly
• Hands-on experience with image/photo editing software (e.g., Photoshop, GIMP, or similar) for precise pixel-level edits
• Strong attention to detail — able to spot subtle map artifacts or misalignments that would otherwise cause navigation failures
• Strong written communication for incident documentation and cross-team coordination
• Comfort navigating a fast-paced startup environment with evolving tooling and responsibilities

Preferred Qualifications

• Prior experience with SLAM algorithms, point cloud data, or robotics navigation stacks
• Scripting experience (Python or similar) for batch-processing map files or automating repetitive patching tasks
• Experience with Jira, Confluence, or similar operational tracking tools
• Retail technology or fleet operations exposure is a plus