We are seeking an experienced 3D SLAM (Simultaneous Localization and Mapping) Computer Vision Engineer to join our innovative team. The ideal candidate will have a strong background in computer vision, robotics, and software development, with a focus on 3D perception and SLAM algorithms. You will work on cutting-edge projects that involve building real-time mapping and localization systems, contributing to both research and practical deployment.

Key Responsibilities:

Design, develop, and implement state-of-the-art 3D SLAM algorithms for real-time applications.
Collaborate with cross-functional teams to integrate SLAM solutions with hardware and other software components.
Conduct in-depth research and stay updated with the latest advancements in SLAM, computer vision, and related fields.
Optimize code for real-time performance and robustness across different environments.
Develop and maintain the software infrastructure for testing and deploying SLAM systems.
Analyze and process sensor data from various sources, including LiDAR, depth cameras, and IMUs.
Troubleshoot and debug issues related to 3D perception, mapping, and localization.

Requirements:

Education: Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field. PhD is a plus.
Experience: 3-5 years of experience in computer vision or robotics, with a focus on SLAM and 3D perception.
Technical Skills:
Proficiency in programming languages such as C++ and Python.
Strong knowledge of computer vision libraries (e.g., OpenCV, PCL) and frameworks.
Experience with SLAM algorithms (e.g., ORB-SLAM, RTAB-Map, LOAM).
Familiarity with 3D point cloud processing, sensor fusion, and Kalman filters.
Mathematics: Strong background in linear algebra, probability theory, and optimization techniques.
Problem-Solving: Excellent analytical skills for troubleshooting and performance tuning.
Communication: Ability to effectively collaborate with cross-functional teams and present technical information clearly.

Preferred Qualifications:

Experience with robotics frameworks such as ROS (Robot Operating System).
Knowledge of GPU programming and parallel processing (e.g., CUDA).
Experience working with 3D reconstruction, photogrammetry, or AR/VR applications.
Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) for computer vision tasks.

Job Type: Full-time

Pay: ₹500,000.00 - ₹1,000,000.00 per year

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3D SLAM Computer Vision Engineer