Permanent Perception Engineer (Computer Vision & Multimodal AI) at Ang Mo Kio , Up to $5,000 (Office hours)

SUCCESS RESOURCE CENTRE PTE. LTD.; Singapore; On-site; SGD 51,000 - 61,000; Full time

Job summary

SUCCESS RESOURCE CENTRE PTE. LTD. is seeking an engineer to develop and mature applied AI, computer vision and multimodal perception for real-world surveillance. You will collaborate with robotics and software teams to deploy validated perception functions into AST systems.

The role focuses on perception models, data/evaluation and multimodal AI in an applied engineering capacity, not pure AI research. Fresh grads welcome with hands-on projects.

Qualifications

• Degree in Computer Science, AI, Engineering or Robotics.
• Strong Python foundation with ML/CV development experience.
• C++ capability would be advantageous.
• Hands-on project or internship experience in CV/AI.
• Experience with PyTorch, OpenCV, ONNX and TensorRT/CUDA.

Responsibilities

• Develop and enhance computer vision capabilities including object detection, tracking and false-alert reduction.
• Work with EO/IR and thermal imagery, and combine perception outputs with sensor metadata.
• Build datasets, annotations, and evaluation benchmarks for field conditions.
• Analyse false positives/negatives and dataset shifts to drive improvements.
• Develop multimodal AI, behaviour analytics and operator-assist functions.
• Package AI models for edge deployment using ONNX/TensorRT/CUDA.
• Collaborate with robotics software teams on deployment and integration.
• Support experiments with vision-language models, synthetic data and active learning.
• Assist with field trials to validate perception capabilities under operational conditions.

Skills

Python

C++

Object detection

Multi-object tracking

Image/video analytics

Thermal imaging

Multimodal AI

Sensor fusion

PyTorch

OpenCV

ONNX

TensorRT/CUDA

Edge deployment

Education

Degree in Computer Science, AI, Computer/Electrical Engineering, Robotics

Tools

ONNX

TensorRT

NVIDIA Jetson

OpenCV

PyTorch

Job description

- Permanent

- Up to $5,000

- Mon-Fri: 8.30am-5pm

- Ang Mo Kio

Role Summary

Responsible for developing, evaluating and maturing applied AI, computer vision and multimodal perception capabilities for real-world surveillance applications. The engineer will work closely with the robotics and software teams to deploy validated perception functions into AST systems.

The role focuses on perception models, data/evaluation and multimodal AI, and is an applied engineering position rather than a pure AI research or data-science role.

Key Responsibilities:

• Develop and enhance computer vision capabilities including object detection, classification, multi-object tracking and false-alert reduction.
• Work with EO/IR and thermal imagery, and where applicable combine perception outputs with AIS, radar tracks and other system metadata.
• Build representative datasets, annotation practices, evaluation sets and repeatable performance benchmarks suitable for field conditions.
• Analyse false positives, false negatives, dataset shifts and operational failure modes, and translate findings into measurable improvements.
• Develop and evaluate multimodal AI, behaviour/event analytics and operator-assist functions where they provide operational value.
• Optimise and package AI models for practical edge deployment using ONNX, TensorRT/CUDA or equivalent technologies.
• Collaborate closely with the Robotics Software Engineer on model deployment and system integration.
• Support controlled experimentation with emerging technologies including vision-language models, synthetic data and active learning.
• Support integration testing and field trials to validate perception capabilities under operational conditions.

Period

• Permanent

Location

• Ang Mo Kio

Working Hours

• Monday – Friday, 8.30am – 5pm

Salary

• Up to $5,000

Job Requirements

• Degree in Computer Science, Artificial Intelligence, Computer/Electrical Engineering, Robotics or related discipline.
• Strong foundation in Python with practical machine-learning and computer-vision development experience.
• C++ capability would be advantageous.
• Hands-on experience in one or more of the following:
• Object detection
• Multi-object tracking
• Image/video analytics
• Thermal imaging
• Multimodal AI
• Sensor fusion
• Comfortable working with datasets, model evaluation, error analysis and quantitative performance metrics.
• Experience with PyTorch or equivalent, OpenCV, ONNX, TensorRT/CUDA, NVIDIA Jetson or edge deployment would be advantageous.
• Candidates with strong relevant project, internship or practical engineering experience may also be considered.
• Applied hands-on capability is more important than years of experience alone.
• Fresh grads with relevant internship and project experience are welcome to apply

Other Remarks

• Work closely with internal systems, software platform, sensor-data, robotics software and verification teams.
• Take primary ownership of applied AI/perception model development and multimodal analytics.
• focusing on AI models, perception performance, datasets and analytics.