Computer Vision Engineer
Posted 30 Sep 2026
Advertised as “Senior Computer Vision Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 6–8 yrs
- Management level
- Individual contributor
- Contract
- Full-time
No salary listed for this role.
Field of studyArtificial Intelligence, Computer Science, Robotics (or related)
Study levelMaster's or higher
Rapsodo is a global Sports Technology company with offices in the USA, Singapore, Turkey, and Japan. We develop cutting-edge sports analytics products that are data-driven, portable, and easy to use, empowering athletes at all levels to analyze and improve their performance. From Major League Baseball pitchers to professional Golf tour players, athletes around the world rely on Rapsodo technology to refine their game.
Job Description
Our algorithm team designs and implements state-of-the-art computer vision and deep learning solutions for Rapsodo’s advanced sports analytics products. As a Senior Computer Vision Engineer, you will develop cutting-edge 3D vision, image processing, and AI-driven measurement solutions that help athletes reach their full potential.
This role requires a strong foundation in computer vision, deep learning, and embedded AI, with opportunities to contribute to both new product development and optimization of existing models for edge computing.
Key Responsibilities
- Develop Advanced Vision Algorithms – Design, implement, and optimize 3D vision, image classification, segmentation, and feature extraction algorithms.
- Neural Network Development – Architect and train CNNs and custom deep learning models using PyTorch, TensorFlow, or ONNX for real-time applications.
- Embedded AI & Edge Optimization – Optimize and port vision models to embedded platforms (ARM, GPU, TPU, or custom accelerators) for high-performance, low-latency inference.
- Camera Calibration & 3D Vision – Develop and enhance multi-camera calibration, stereo vision, and 3D reconstruction techniques.
- Software Architecture & API Design – Design scalable computer vision pipelines and APIs for seamless integration with Rapsodo’s product ecosystem.
- Performance Optimization – Apply quantization, pruning, and model compression techniques to enhance real-time inference efficiency on resource-constrained
Requirements
- Education – Master’s or Ph.D. in Computer Science, AI, Robotics, or a related field, specializing in Computer Vision & Image Processing.
- Experience – 6-8+ years of hands-on experience in computer vision, deep learning, and real-time image processing.
Technical Expertise:
- 3D Vision & Camera Calibration – Strong foundation in multi-camera setups, stereo vision, and geometric transformations.