Computer Vision & Robotics Intern

Key Skills

AI Robotic systems, C++, COLMAP, FoundationStereo, Geometry, GLOMAP, LightGlue, LoFTR, OpenCV, Python Programming, PyTorch, ROMA, SuperGlue, XFeat

Job Description

Join us in shaping the future of agriculture—one field at a time.

Role: Computer Vision & Robotics Intern
Location: Hybrid – Lawrenceville, PA
Type: Full-Time, Paid Internship

We’re looking for a driven and curious Computer Vision & Robotics Intern to join our R&D team in advancing perception and robotics systems. This is an exciting opportunity to contribute to real-world projects involving stereo vision, deep learning, and real-time robotics software.

Key Responsibilities

• Investigate advanced methods in visual matching, depth estimation, and 3D reconstruction.
• Process image and sensor data to enhance motion estimation and localization.
• Support migration of robotics components to modern frameworks and benchmark performance.
• Prototype and validate solutions in collaboration with engineering teams.
• Work cross-functionally with AI, hardware, and software groups.
• Document experiments, processes, and findings clearly and thoroughly.
• Receive mentorship and regular feedback from senior engineers.

Preferred Qualifications

• Pursuing a BS/MS in Computer Science, Robotics, Electrical Engineering, or a related field.
• Strong programming skills in Python and C++.
• Solid understanding of computer vision and multi-view geometry.
• Experience with visual feature matching (e.g., SuperGlue, LightGlue, XFeat, LoFTR, ROMA).
• Familiarity with deep stereo methods (e.g., FoundationStereo, high-res-stereo).
• Knowledge of point cloud processing, ICP, or 3D reconstruction.
• Understanding of motion estimation and pose recovery techniques.
• Proficiency with tools like OpenCV, Open3D, and PyTorch.
• Exposure to ROS1/ROS2 and robotics middleware.

Bonus Skills (Not Required)

• Experience with visual SLAM or structure-from-motion pipelines.
• Familiarity with GPS/IMU integration.
• Knowledge of COLMAP, GLOMAP, or similar tools.
• Exposure to ROS2 middleware (Zenoh, DDS, etc.).
• Understanding of Docker or DevOps for robotics workflows.

You’ll Thrive Here If You...

• Love solving geometry-heavy perception challenges.
• Enjoy working across the full stack—from neural networks to hardware systems.
• Write clean, modular code and value robust, reproducible pipelines.
• Are excited by research-inspired engineering and real-world impact.