Developer – SLAM Framework (Ground-Fusion++)

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About the Role

Developer

📝"Towards Robust Sensor-Fusion Ground SLAM: A Comprehensive Benchmark and a Resilient Framework"

You will be at the forefront of SLAM innovation, building robust, real-world solutions for ground robots operating in degraded conditions using heterogeneous sensor data (GNSS, LiDAR, IMU, RGB-D, wheel odometers, etc.).

As per our initial screening process, please fill out this form:

https://forms.gle/9g8qwE5cjS3H7iwH7

Responsibilities

• Develop, test, and optimize the

  Ground-Fusion++ SLAM framework

  .
• Integrate and calibrate multiple sensors (LiDAR, RGB-D, IMU, GNSS, wheel odometry).
• Implement modular, extensible SLAM components for mapping and localization.
• Collaborate with a team of researchers and contribute to open-source releases.
• Support benchmarking and experiments using the M3DGR dataset.

Required Qualifications

• Bachelor's/Master’s/PhD in Robotics, Computer Science, Electrical Engineering, or related fields.
• Proficient in

  C++

  and

  Python

  for robotics system development.
• Hands-on experience with

  ROS/ROS2

  and multi-sensor data fusion.
• Prior work with

  SLAM algorithms

  (e.g., LIO-SAM, Cartographer, ORB-SLAM).
• Strong grasp of 3D perception, probabilistic estimation, and real-time performance.

Preferred Qualifications

• Experience working with GNSS-denied or degraded environments.
• Published or contributed to SLAM frameworks or datasets.
• Understanding of real-time embedded systems or robotic platforms.
• Experience contributing to academic papers or open-source projects.

What We Offer

• Opportunity to work on cutting-edge SLAM research accepted at

  IROS 2025

  .
• Full remote flexibility with global collaboration.
• Access to state-of-the-art benchmarks (M3DGR) and datasets.
• High-impact work bridging academia and real-world deployment.

How to Apply

pratiksha@meetwork.today & uma@meetwork.today