Geometric Vision Intern - Summer Internship

Geometric Vision Intern - Summer Internship

Vimaan is seeking skilled and enthusiastic summer interns to join the team of in-house 3D Geometric Computer Vision experts in the development and implementation of advanced algorithms for our state-of-the-art warehouse inventory products. This role involves working on the development and implementation of Python-based modules and pipelines to be deployed on both server and edge based platforms and requires thinking out-of-the-box to build modules that are both optimal and

efficient.

Geometric Vision Intern Responsibilities

• Design and implement algorithms for the acquisition, processing, and analysis of 2D/3D spatial data, including point clouds and depth maps, to support applications in computer vision, 3D reconstruction, and geometric modeling.

• Contribute to the development of machine learning models for object detection, segmentation, and classification within spatial datasets to enhance perception and understanding of complex environments.

• Participate in the creation of innovative solutions for localization and navigation challenges using computer vision and 2D/3D spatial data.

• Implement sensor fusion techniques combining data from cameras, LiDARs, depth sensors, and other modalities.

• Assist in the integration of computer vision and spatial data processing pipelines with realtime systems, focusing on optimization techniques to ensure efficient data handling and computation.

• Create robust sensor calibration routines that perform reliably in complex and unpredictable environments.

• Collaborate on interdisciplinary projects, applying principles from computer vision, robotics, 3D geometry and applied mathematics to solve practical problems in industry.

• Explore and evaluate new technologies and methodologies in 3D data processing, contributing to the team's knowledge base and sharing insights through documentation and presentations.

Minimum Qualifications

• Enrollment in a Bachelor's or Master's program in Computer Science, Robotics, Applied Mathematics, or a related field, with a strong foundation in data structures, algorithms, and linear algebra.

• Demonstrated experience with spatial data processing, computer vision, or 3D reconstruction through academic projects, internships, or coursework.

• Strong proficiency in Python or C++ and familiarity with libraries and frameworks such as OpenCV, Open3D, or PCL.

• Basic understanding of machine learning principles and their application to spatial data analysis.

• Exposure to software development practices and tools, including version control with Git and CI/CD workflows.

• Excellent communication skills, with the ability to collaborate effectively in a multidisciplinary fast-paced team environment.

• Initiative and creativity in problem-solving, with a passion for emerging technologies in computer vision and spatial data engineering.

Preferred Qualifications

• Hands-on experience with depth sensors, LiDAR, or photogrammetry for 3D data acquisition.

• Participation in projects or competitions related to autonomous vehicles, robotics, or similar areas where spatial data plays a crucial role.

• Knowledge of optimization techniques for real-time data processing and experience with GPU programming for computational efficiency.

• Exposure to SLAM (Simultaneous Localization and Mapping) or other techniques for navigation and mapping using 2D and 3D data.

• Strong interest in contributing to open-source projects or a portfolio of personal projects showcasing innovative uses of spatial data.

Note: This is an on-site internship (not remote/hybrid).

APPLY ONLINE