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Salary
$42k – $54k per year (gross)
Location
In office (Singapore)
Experience
1+ year exp
Employment
Full-Time

First seen by Alion on Nov 10, 2026.

Overview
Company
Impact
Profile match
Headquartered in Singapore, YY Circle is a dynamic on-demand staffing platform and mobile application that connects employers with job seekers for flexible work opportunities. The company utilizes an AI-driven system to efficiently match qualified candidates with temporary and full-time roles across various industries such as hospitality, retail, and events. Through its comprehensive digital ecosystem, businesses can streamline workforce management while workers gain access to convenient job placements and rapid earnings.

About Us

YYForce is building intelligent humanoid and service robots that can work safely and effectively alongside people. Our initial focus is the hospitality sector, where robots must operate reliably in dynamic environments and interact naturally with guests and staff.

Our goal is to develop scalable robotic capabilities that support a growing range of hospitality and service applications.

About the Role

We are looking for a Robotics Engineer, Perception to enable our robots to understand and respond to real-world environments.

You will develop and integrate computer-vision capabilities for object and person detection, tracking, segmentation, pose estimation and scene understanding. You will also support camera selection and integration while maintaining a reliable perception system for physical robots.

Working closely with manipulation, navigation and embodied AI engineers, you will turn visual information into dependable robot actions.

Key Responsibilities

· Develop computer-vision capabilities for object and person detection, tracking, segmentation and pose estimation.

· Build RGB-D and 3D-perceptionpipelines for scene understanding and robotic manipulation.

· Select suitable camera hardware, integrate it with the existing robot stack and maintain the perception system.

· Integrate perception outputs with manipulation, navigation and other robot capabilities.

· Optimize perception pipelines for reliable real-time operation on onboard or edge computers.

· Test and improve perception reliability on physical robots under real-world operating conditions.

Minimum Requirements

· Bachelor’s or Master’s degree in Robotics, Electrical Engineering, Computer Science, AI or a related field.

· Good understanding of computer vision, deep learning and image-processing fundamentals.

· Experience with object detection, segmentation, tracking, pose estimation or 3D vision.

· Proficiency in Python or C++.

· Experience with computer-vision and machine-learning frameworks such as OpenCV and Py Torch.

· Strong problem-solving skills and the ability to debug data, model and system-integration issues.

Strongly Preferred

· Experience with RGB-D cameras, depth processing, point clouds or 3D scene understanding.

· Experience selecting and integrating cameras or other perception sensors.

· Familiarity with ROS or ROS 2.

· Experience integrating perception with robotic manipulation or navigation.

· Demonstrable work through deployed systems, technical projects, publications or robot demonstration videos.

What We Offer

· End-to-end ownership of perception capabilities deployed on physical humanoid

· The opportunity to take your work from development and simulation through to real-world hospitality deployments.

· Hands-on access to robot platforms, sensors, edge computers and real-world testing environments.

· The freedom to evaluate technologies, make technical decisions and shape the perception roadmap.

· Close collaboration across perception, manipulation, embodied AI and robotics system engineering.

· The opportunity to join a growing robotics team and help define its core technical capabilities.

Work Type : Full-time |On-site

Skills

Ai, Electrical, Electronic and Control Engineering, Image Processing, Segmentation, Point Clouds, C Language, Computer Vision, Computer Science, Depth Analysis, Robot Framework, Object Detection, Designing Robots, Debugging, Electrical Engineering, EDGE system, Navigation Technology

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