Lotus Interworks - Developer - SLAM Framework

2 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Job Title :

Developer - SLAM Framework (Ground-Fusion++)

Location :

Remote (India)

Job Type :

Full-Time | Remote | Research-Based Role

Industry :

Robotics, Autonomous Systems, AI Research

Seniority Level :

Mid-Senior Level

Experience Required :

2- 6 years

About The Role

We are looking for an experienced Developer to join our research and engineering team to contribute to Ground-Fusion++, a Resilient Modular Multi-Sensor Fusion SLAM Framework, part of our IROS 2025 accepted paper:"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,
  • 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 Qualifications :
  • Bachelor's/Masters/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 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 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.
(ref:hirist.tech)

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