
11 - 50 employees
🛒 Retail
🤖 Artificial Intelligence
☁️ SaaS
💰 Convertible Note on 2022-07
Retail • Artificial Intelligence • SaaS
Simbe Robotics is a retail technology company that provides multimodal shelf intelligence solutions to improve in-store operations for retailers. Their platform, featuring the autonomous robot Tally, uses computer vision and AI to track product location, stock levels, and pricing, providing real-time data and insights. Simbe aims to digitize stores for complete visibility, enhancing efficiency by reducing out-of-stocks and improving pricing accuracy. Their solutions are designed to help retailers manage inventory effectively, increase sales, and enhance the shopping experience, all while operating at a global scale. Recognized as a technology leader, Simbe Robotics empowers store teams with actionable data and significant ROI.
🔥 36 minutes ago
🇺🇸 United States – Remote
💵 $3k - $4k / month
⏳ Contract/Temporary
🟢 Junior
🧐 Analyst
🦅 H1B Visa Sponsor
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11 - 50 employees
🛒 Retail
🤖 Artificial Intelligence
☁️ SaaS
💰 Convertible Note on 2022-07
Retail • Artificial Intelligence • SaaS
Simbe Robotics is a retail technology company that provides multimodal shelf intelligence solutions to improve in-store operations for retailers. Their platform, featuring the autonomous robot Tally, uses computer vision and AI to track product location, stock levels, and pricing, providing real-time data and insights. Simbe aims to digitize stores for complete visibility, enhancing efficiency by reducing out-of-stocks and improving pricing accuracy. Their solutions are designed to help retailers manage inventory effectively, increase sales, and enhance the shopping experience, all while operating at a global scale. Recognized as a technology leader, Simbe Robotics empowers store teams with actionable data and significant ROI.
• Monitor map quality and drift indicators across the fleet. • Identify stores where localization failures, delocalization events, or navigation errors point to a degraded or outdated map. • Remotely control robots in-store using proprietary tooling to drive fresh SLAM mapping traversals when a store's map needs to be rebuilt from scratch. • 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. • 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. • Validate patched and newly generated maps against navigation performance before deployment, confirming that fixes resolve the underlying localization issue rather than masking it. • Work closely with Engineering to flag gaps in the mapping toolchain and inform improvements to automated map-patching and SLAM pipeline tools. • Log mapping-related incidents, root causes, and resolutions in internal tracking systems, and contribute to playbooks for common map failure patterns. • Partner with Robot Operations, Client Success, and Engineering to prioritize which stores need mapping attention and to communicate expected timelines for fixes.
• 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 • Basic understanding of SLAM, lidar data, or occupancy-grid mapping concepts • 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
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