Senior Computer Vision Engineer

PERSOL SINGAPORE PTE. LTD.; Singapore; On-site; SGD 150,000 - 210,000; Full time

Job summary

PERSOL SINGAPORE PTE. LTD. is seeking an experienced computer vision engineer to design and deploy robust CV solutions for robotics. You will take algorithms from prototyping to production, focusing on accuracy, reliability, and real-time performance.

You will work on 3D perception, calibration, and integration into robotics platforms, with GPU-accelerated code and cross-functional collaboration. A Master’s or PhD plus 5+ years in industry are expected.

Qualifications

• 5+ years of industry experience delivering computer vision solutions in production environments.
• Strong fundamentals in CV and image processing and applied ML for vision systems.
• Hands-on experience with calibration methods and deployment workflows.
• Proficiency in C++ and Python; CUDA and performance engineering a plus.
• Familiarity with 3D reconstruction concepts and neural rendering.

Responsibilities

• Design and develop CV algorithms for detection, recognition, tracking, and scene understanding.
• Build software modules to integrate vision into robotics platforms with high performance.
• Develop and refine 3D perception pipelines and calibration solutions.
• Optimize algorithms for real-time execution; apply GPU acceleration where applicable.
• Prototype approaches and move solutions from concept to deployment with cross-functional partners.
• Create tests and validation methods; document design choices and results.

Skills

Computer vision fundamentals

Image processing

C++

Python

CUDA

OpenCV

TensorFlow/PyTorch

3D reconstruction

Calibration workflows

Performance optimization

Education

Master's degree in CS/EE/Robotics

PhD in CS/EE/Robotics

Tools

CUDA

OpenCV

PCL / Point Cloud Library

ROS

TensorFlow

PyTorch

Job description

Brief Summary

Join a high-impact engineering team building robust computer vision capabilities for advanced robotic systems used in real-world production environments.

You will take algorithms from prototyping through deployment, focusing on accuracy, reliability, and real-time performance.

Responsibilities

• Design and develop computer vision algorithms for detection, recognition, tracking, and scene understanding.
• Build and maintain software modules that integrate vision algorithms into robotics platforms with strong performance and reliability.
• Implement and improve 3D perception pipelines, including multi-view geometry, depth estimation, and 3D reconstruction workflows.
• Develop and refine calibration solutions (camera intrinsic, multi-camera, and robot-to-camera) suitable for production use.
• Optimize algorithms and code for runtime efficiency, accuracy, and real-time execution (including GPU acceleration where applicable).
• Prototype new approaches, evaluate feasibility, and move solutions from concept to deployment with cross-functional partners.
• Create test plans and validation methods to ensure stable behavior across varied operating conditions.
• Produce clear technical documentation covering design choices, implementation details, and verification results.
• Stay current with evolving computer vision and machine learning techniques and apply relevant advances to improve solutions.

Requirements

• Master's or PhD in Computer Science, Electrical Engineering, Robotics, or a related discipline.
• 5+ years of industry experience delivering computer vision solutions in applied, production-facing environments.
• Strong fundamentals in computer vision and image processing (e.g., filtering/denoising, feature/edge-based methods) and applied machine learning for vision systems.
• Hands-on experience with calibration methods and deploying calibration workflows in real systems.
• Proficiency in C++ and Python; experience with CUDA and performance engineering is preferred.
• Practical familiarity with common vision/3D tooling (e.g., OpenCV, point cloud processing libraries) and ML frameworks (e.g., TensorFlow or PyTorch).
• Experience with 3D reconstruction concepts and implementation (e.g., modern neural rendering / 3D representation approaches).
• Strong problem-solving skills, ability to work cross-functionally, and comfort communicating complex technical topics clearly.