Senior Computer Vision Engineer

The Talent People x JSIT-PE

The Talent People is proud to partner with JSIT-PE, a government initiative aimed at strengthening Singapore’s Precision Engineering sector by addressing manpower challenges and fostering industry growth.

By applying for our job opportunities, you’re joining a strategic effort to enhance Singapore’s Precision Engineering landscape.

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.
• 3D Vision & Camera Calibration – Strong foundation in multi-camera setups, stereo vision, and geometric transformations.
• Deep Learning & Vision Models – Expertise in CNNs, object detection, pose estimation, segmentation, and feature extraction.
• AI Frameworks & Optimization – Hands-on experience with PyTorch, TensorFlow, OpenCV, and model compression techniques (quantization, pruning, distillation, etc.).
• Embedded Deployment – Experience optimizing and deploying deep learning models on ARM, GPU, TPU, or custom edge AI hardware.
• Programming & Software Development – Strong proficiency in C/C with some Python, and experience in software architecture and API design.
• Problem-Solving & Communication – Strong analytical skills and ability to collaborate across teams, explaining technical concepts to diverse stakeholders.

The Talent People 24C2589