Edge Vision Engineer: Multimodal AI & Field Perception

ENGGSOL PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

ENGGSOL PTE. LTD. in Singapore seeks a candidate to advance computer-vision capabilities for edge deployment in complex sensor environments. You will develop detection, tracking, and multimodal analytics, and optimize models for ONNX, TensorRT/CUDA, and Jetson platforms.

The role requires solid Python and ML/vision background, with optionally C++ skills, and hands-on experience with PyTorch, OpenCV, and model evaluation. Collaboration with engineering teams and field trials is expected.

Qualifications

• Degree in CS/AI/Engineering/Robotics or related field.
• Strong Python and machine-learning / computer-vision background.
• C++ capability would be advantageous.
• Hands-on experience in object detection, tracking, image/video analytics.
• Familiarity with dataset handling, evaluation, and metrics.
• Experience with PyTorch, OpenCV, ONNX, TensorRT / CUDA is beneficial.

Responsibilities

• Develop and improve computer-vision capabilities: object detection, classification, and multi-object tracking.
• Integrate perception outputs with AIS, radar, and system metadata.
• Create datasets, annotation practices, and evaluation sets for field conditions.
• Analyze false positives/negatives, dataset shift, and failure modes to drive improvements.
• Develop multimodal AI, behaviour analytics, and operator-support features with clear value.
• Optimize and package models for edge deployment using ONNX, TensorRT/CUDA on Jetson.
• Support experiments with vision-language models, synthetic data, and active learning.

Skills

Python

Machine learning

Computer vision

C++

Education

Bachelor's degree in CS/AI/Engineering/Robotics

Tools

PyTorch

OpenCV

ONNX

TensorRT/CUDA

NVIDIA Jetson

Job description

ENGGSOL PTE. LTD. in Singapore seeks a candidate to advance computer-vision capabilities for edge deployment in complex sensor environments. You will develop detection, tracking, and multimodal analytics, and optimize models for ONNX, TensorRT/CUDA, and Jetson platforms.

The role requires solid Python and ML/vision background, with optionally C++ skills, and hands-on experience with PyTorch, OpenCV, and model evaluation. Collaboration with engineering teams and field trials is expected.