Applied Vision Engineer

About the Role

We're seeking an Applied Vision Engineer to join Shuffle's spatial intelligence team. In this role, you'll develop cutting-edge computer vision solutions that transform how buildings, worksites, and infrastructure are monitored and optimized.

You'll work on real-time object detection, 3D reconstruction, sensor fusion algorithms, and edge-optimized neural networks that power our millimeter-accurate spatial intelligence platform.

Responsibilities

• Design and implement computer vision algorithms for object detection, tracking, and 3D reconstruction
• Develop sensor fusion pipelines that combine data from LiDAR, RGB-D cameras, and other sensors
• Optimize neural networks for edge deployment on resource-constrained devices
• Collaborate with cross-functional teams to integrate vision systems into our spatial intelligence platform
• Research and implement state-of-the-art computer vision techniques
• Contribute to the development of our proprietary spatial registration engine

Requirements

• Production experience in Python and C++
• Strong background in computer vision and deep learning
• Experience with OpenCV, PyTorch or TensorFlow
• Familiarity with 3D vision techniques (SLAM, SfM, point cloud processing)
• Understanding of camera calibration and multi-sensor fusion
• Experience optimizing models for edge deployment (TensorRT, ONNX, etc.)
• Neurodivergence is a welcome strength (big plus)
• Interdisciplinary creativity + bias for action
• Passion for hardware and deep tech
• Alignment with our mission to be the world's first spatial intelligence platform powering the built world and mission critical infrastructure

Preferred Qualifications

• MS or PhD in Computer Science, Robotics, or related field
• Experience with CUDA programming and GPU optimization
• Knowledge of ROS (Robot Operating System)
• Experience with embedded systems and edge computing
• Publications in top computer vision conferences (CVPR, ICCV, ECCV)

Location

This position is based in New York City. We value in-person collaboration for this role.

Note

No agencies, no generalists, just builders who want to power the built world and mission critical infrastructure at scale.