Industrial Computer Vision & AI Algorithms Engineer

Jabil; Singapore; On-site; SGD 120,000 - 170,000; Full time

Job summary

Jabil in Singapore seeks a core algorithm R&D engineer to advance our internally developed vision platform. You will drive state-of-the-art computer vision, deep learning, and multimodal model techniques for industrial-grade performance and robustness.

You will develop high-performance training/inference pipelines using Python/C++, PyTorch, CUDA, and vectorized code. Collaboration with cross-functional teams is essential to ship reliable AI features.

Qualifications

• Bachelor’s / Master’s / PhD in Computer Science, Electrical Engineering, Applied Mathematics, or related fields (industry experience may substitute).
• Strong fundamentals and hands-on experience in deep learning for computer vision, including detection and segmentation.
• Solid engineering ability with Python + C++; capable of building clean training code (with PyTorch) and production-ready modules.
• Practical experience with performance optimization and acceleration (CUDA / SIMD / parallel computing).
• Ability to communicate effectively in both Chinese (Mandarin) and English.

Responsibilities

• Core Vision Algorithm R&D (Deep Learning + Transformers): research, develop, and optimize CV algorithms including CNN-based and Transformer-based detection/recognition architectures; design evaluation protocols and ablation studies.
• Few-shot / Small-sample Learning for Industrial Use Cases: own R&D for few-shot rotated detection, segmentation, and anomaly detection; explore meta-learning and foundation-model feature adaptation.
• LLM / VLM Fine-tuning & Reinforcement Learning (Post-training): implement supervised and PEFT fine-tuning, alignment methods, and reproducible training workflows.
• Vector / Graph-based Learning for CAD/PCB & Structured Data: study models beyond raster images, apply GNNs and vector representations for component understanding and connectivity reasoning.
• High-performance Implementation & Productionization: write efficient C++/Python code for training/inference; optimize CUDA/SIMD kernels; ensure integration with product modules.
• Paper Reading & Reproducibility: read top-tier papers, reproduce core algorithms, deliver technical notes.

Skills

Deep learning for CV

Python

C++

Transformer-based architectures

Few-shot learning

Multimodal models

English & Mandarin communication

Education

Bachelor/Master/PhD in CS/EE/Math

Tools

PyTorch

CUDA

SIMD

GNNs

Vector data representations

Job description

Jabil in Singapore seeks a core algorithm R&D engineer to advance our internally developed vision platform. You will drive state-of-the-art computer vision, deep learning, and multimodal model techniques for industrial-grade performance and robustness.

You will develop high-performance training/inference pipelines using Python/C++, PyTorch, CUDA, and vectorized code. Collaboration with cross-functional teams is essential to ship reliable AI features.