Senior Computer Vision Engineer for Real-Time Sports AI

Rapsodo, Inc.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Rapsodo, Inc. is seeking a Senior Computer Vision Engineer to advance cutting-edge 3D vision, image processing, and AI-driven measurement solutions for our sports analytics platforms.

The role emphasizes embedded AI, real-time inference, and edge optimization across ARM/GPU/TPU, with opportunities to shape both new products and optimizations. You will design scalable CV pipelines, calibrate multi-camera systems, and collaborate across teams to deliver high-performance, data-driven athletic

Qualifications

• Master’s or Ph.D. in Computer Science, AI, Robotics, or a related field.
• 6-8+ years of hands-on experience in computer vision, deep learning, and real-time image processing.

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

Skills

3D Vision

Camera Calibration

Deep Learning

CNNs

Edge AI

C/C++

Python

NN Deployment

OpenCV

Education

Master’s or Ph.D. in Computer Science, AI, Robotics, or related field

Tools

PyTorch

TensorFlow

ONNX

API Design

Job description

Rapsodo, Inc. is seeking a Senior Computer Vision Engineer to advance cutting-edge 3D vision, image processing, and AI-driven measurement solutions for our sports analytics platforms.

The role emphasizes embedded AI, real-time inference, and edge optimization across ARM/GPU/TPU, with opportunities to shape both new products and optimizations. You will design scalable CV pipelines, calibrate multi-camera systems, and collaborate across teams to deliver high-performance, data-driven athletic