Robotics Research Resident: Localization And Mapping

Company Description Bizom is a route-to-market and retail intelligence platform that helps CPG brands digitize, optimize, and scale their sales and distribution operations. It unifies sales force automation, distributor management, and retailer engagement so brands can decide where, what, and how much to sell with greater accuracy. By combining AI with real-time data and industry expertise, Bizom creates a connected, insight-driven ecosystem that improves retail execution and decision-making across sales, distribution, and supply chain. The platform is built to perform reliably in complex, multi-geography environments, supporting large field teams and millions of endpoints worldwide. Trusted by over 750 brands in more than 35 countries, Bizom enables organizations to reduce inefficiencies, boost sales productivity, optimize inventory, and accelerate market expansion.
Role Description The Robotics Research Resident: Localization and Mapping will focus on designing, implementing, and evaluating algorithms for robot localization, mapping, and navigation in real-world retail and distribution environments. Day-to-day responsibilities include developing and testing SLAM and related perception pipelines, integrating sensor data from sources such as LiDAR, cameras, and IMUs, and optimizing algorithms for robustness and performance in complex, dynamic settings. The resident will work closely with cross-functional teams to build prototypes, run experiments, analyze results, and translate research outcomes into deployable components within Bizoms intelligent RTM ecosystem. This is a full-time, on-site role based in Bengaluru, requiring regular collaboration with engineering, data science, and product teams to align research with practical business applications.
Qualifications

• Strong foundation in robotics, computer science, or a related field, with knowledge of localization, mapping, and motion planning concepts.
• Experience with algorithms for SLAM, state estimation, and sensor fusion (e.g., Kalman filters, particle filters, graph-based optimization).
• Skills in working with common robotics frameworks and tools, such as ROS/ROS2, Gazebo, or similar simulation and integration environments.
• Proficiency in programming languages commonly used in robotics research, such as C++, Python, and relevant libraries (e.g., Eigen, OpenCV, PCL).
• Ability to process and integrate data from perception sensors including cameras, LiDAR, depth sensors, and IMUs in real-world conditions.

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• Familiarity with machine learning or computer vision techniques that enhance mapping, environment understanding, or navigation performance.
• Strong analytical and problem-solving skills with the ability to design experiments, interpret results, and iterate on research ideas.
• Comfort working on-site in Bengaluru in a collaborative, interdisciplinary team, with clear written and verbal communication skills.
• Masters or PhD (or equivalent