Flutter App Development: Design, develop, and maintain a Flutter-based indoor navigation application that provides intuitive and seamless navigation within indoor spaces. User Interface (UI) Development: Create visually appealing, user-friendly, and responsive user interfaces that enhance the user experience and provide an intuitive map-based navigation system. Map Integration: Integrate and customize map libraries and APIs (e.g. Google Maps, Mapbox) to support indoor mapping and navigation functionality. Location Services: Implement and optimize location services and indoor positioning systems to provide accurate indoor navigation capabilities. User Experience Optimization: Continuously improve the app's performance, responsiveness, and user experience, ensuring it functions smoothly even in complex indoor environments. Collaboration: Collaborate with cross-functional teams, including backend developers, UX/UI designers, and QA engineers, to ensure seamless integration and a high-quality end product. Testing and Debugging: Identify and resolve any bugs, performance issues, or other technical problems that may arise during development. Documentation: Create and maintain documentation for code, design decisions, and project specs. Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹45,000.00 per month Benefits: Flexible schedule Work from home Schedule: Day shift Supplemental Pay: Performance bonus Yearly bonus Education: Bachelor's (Preferred) Experience: Application development: 1 year (Required) Work Location: In person Application Deadline: 20/06/2025 Expected Start Date: 23/06/2025

Job Summary: We are seeking a highly skilled and hands-on expert in indoor navigation and localization algorithms who can design, simulate, and implement real-time positioning systems using Bluetooth beacons and sensors. The ideal candidate should have deep experience with EKF (Extended Kalman Filter) , Particle Filters , sensor fusion, and translating these into a mobile application (Flutter/Android/iOS) for real-world deployment in complex indoor spaces (e.g., hospitals, malls, zoos, or campuses). Key Responsibilities: Design, implement, and optimize real-time indoor localization algorithms using BLE RSSI, IMU, and other onboard sensors. Develop sensor fusion pipelines (Bluetooth and PDR) using EKF , UKF , and/or Particle Filter techniques. Build and test localization simulations using Python/MATLAB and transition working logic into mobile platforms. Integrate beacon-based localization into mobile apps (preferably Flutter or native Android/iOS). Calibrate and filter BLE RSSI signals, apply outlier removal, smoothing (e.g., Kalman filters, EWMA), and fingerprinting. Design UI/UX for live indoor maps and path guidance features. Work with map rendering libraries (Mapbox,Google Maps, Leaflet, etc.) or custom indoor mapping solutions. Collaborate with design and testing teams to test in real-world environments and iterate on improvements. Conduct field tests in indoor environments and tune system performance. Required Skills: Strong grasp of probabilistic robotics , localization, and sensor fusion. Proficiency with Kalman Filter (EKF/UKF) and Particle Filter implementations. Strong programming experience in Python , C++ , and mobile development (Flutter, Android, or iOS) . Experience with BLE beacons (iBeacon, Eddystone) and handling noisy RSSI data. Experience in building or simulating localization models in Python , or ROS . Familiarity with SLAM , * path planning (A , Dijkstra)**, and map-matching algorithms . Experience integrating Mapbox , OpenStreetMap , GoogleMpas or custom SVG/GeoJSON maps. Practical experience in mobile sensor APIs: accelerometer, gyroscope, magnetometer, barometer, etc. Bonus Skills (Nice to Have): Experience with Wi-Fi or UWB-based localization. Experience with Real-Time Kinematic (RTK) , Motion Model, Localization, path planning, and navigation algorithums Familiarity with indoor mapping standards , e.g., IndoorGML, IMDF, GeoJSON. Familiarity with Unity3D/ARCore/ARKit for immersive indoor experiences. Prior work in hospitals, smart buildings, or warehouse navigation systems. Education: Bachelor's or Master’s in Robotics, Computer Science, Electrical Engineering, or a related field. Projects or open-source contributions in the field of localization/navigation are a plus. Job Types: Full-time, Permanent Pay: ₹720,000.00 - ₹1,000,000.00 per year Benefits: Flexible schedule Health insurance Schedule: Day shift Supplemental Pay: Performance bonus Ability to commute/relocate: New Delhi, Delhi: Reliably commute or planning to relocate before starting work (Preferred) Work Location: In person Application Deadline: 06/07/2025 Expected Start Date: 15/07/2025

Job Summary: We are seeking a highly skilled and hands-on expert in indoor navigation and localization algorithms who can design, simulate, and implement real-time positioning systems using Bluetooth beacons and sensors. The ideal candidate should have deep experience with EKF (Extended Kalman Filter) , Particle Filters , sensor fusion, and translating these into a mobile application (Flutter/Android/iOS) for real-world deployment in complex indoor spaces (e.g., hospitals, malls, zoos, or campuses). Key Responsibilities: Design, implement, and optimize real-time indoor localization algorithms using BLE RSSI, IMU, and other onboard sensors. Develop sensor fusion pipelines (Bluetooth and PDR) using EKF , UKF , and/or Particle Filter techniques. Build and test localization simulations using Python/MATLAB and transition working logic into mobile platforms. Integrate beacon-based localization into mobile apps (preferably Flutter or native Android/iOS). Calibrate and filter BLE RSSI signals, apply outlier removal, smoothing (e.g., Kalman filters, EWMA), and fingerprinting. Design UI/UX for live indoor maps and path guidance features. Work with map rendering libraries (Mapbox,Google Maps, Leaflet, etc.) or custom indoor mapping solutions. Collaborate with design and testing teams to test in real-world environments and iterate on improvements. Conduct field tests in indoor environments and tune system performance. Required Skills: Strong grasp of probabilistic robotics , localization, and sensor fusion. Proficiency with Kalman Filter (EKF/UKF) and Particle Filter implementations. Strong programming experience in Python , C++ , and mobile development (Flutter, Android, or iOS) . Experience with BLE beacons (iBeacon, Eddystone) and handling noisy RSSI data. Experience in building or simulating localization models in Python , or ROS . Familiarity with SLAM , * path planning (A , Dijkstra)**, and map-matching algorithms . Experience integrating Mapbox , OpenStreetMap , GoogleMpas or custom SVG/GeoJSON maps. Practical experience in mobile sensor APIs: accelerometer, gyroscope, magnetometer, barometer, etc. Bonus Skills (Nice to Have): Experience with Wi-Fi or UWB-based localization. Experience with Real-Time Kinematic (RTK) , Motion Model, Localization, path planning, and navigation algorithums Familiarity with indoor mapping standards , e.g., IndoorGML, IMDF, GeoJSON. Familiarity with Unity3D/ARCore/ARKit for immersive indoor experiences. Prior work in hospitals, smart buildings, or warehouse navigation systems. Education: Bachelor's or Master’s in Robotics, Computer Science, Electrical Engineering, or a related field. Projects or open-source contributions in the field of localization/navigation are a plus. Job Types: Full-time, Permanent Pay: ₹720,000.00 - ₹1,000,000.00 per year Benefits: Flexible schedule Health insurance Schedule: Day shift Supplemental Pay: Performance bonus Ability to commute/relocate: New Delhi, Delhi: Reliably commute or planning to relocate before starting work (Preferred) Work Location: In person Application Deadline: 06/07/2025 Expected Start Date: 15/07/2025