Pedestrian Navigation Algorithm Developer

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