Eureka Robotics Pte. Ltd. – Hardware Design Track Intern (Robotics)

Company
Eureka Robotics Pte. Ltd.
eurekarobotics.com
Designation
Hardware Design Track Intern (Robotics)
Date Listed
15 Apr 2024
Job Type
Entry Level / Junior Executive
Intern/TS
Job Period
From Jul 2024 - Dec 2024
Profession
Engineering
Industry
Computer and IT
Location Name
67 Ayer Rajah Crescent, Singapore
Address
67 Ayer Rajah Crescent, Singapore 139950
Map
Allowance / Remuneration
$1,500 monthly
Company Profile

Empowered by Robotics and A.I. research from NTU Singapore and MIT, Eureka Robotics delivers robotic software and systems to automate tasks that require High Accuracy and High Agility (#HAHA). With offices in Singapore, France, Vietnam, Japan and distribution partners in China and the USA, Eureka Robotics prides itself on helping clients, globally, achieve vastly improved productivity, lower costs, better safety. Common uses include precision-handling, assembly, inspection, and other domains. For more information, visit eurekarobotics.com (eurekarobotics.com) or linkedin.com/company/eurekarobotics (linkedin.com/company/eurekarobotics) 

Job Description

As Robotics Intern (Software) on the team, you will be part of the core development team and will focus on developing the algorithms and software of our products. We work in a fast-paced, agile environment, where we constantly collaborate, peer-review ideas, and test proposed solutions. We encourage continuous learning and brainstorming of ideas within the team. More specifically, you will:
1. Develop user interfaces for Eureka industrial robotic systems
2. Develop and implement computer vision algorithms (classical and Deep-Learning-based) for segmentation, object localization, scene understanding
3. Design and implement backend services for reliable, high-performance, motion planning and control
4. Develop and implement calibration algorithms, e.g. intrinsic camera parameter estimation, stereo transform estimation, robot hand-eye calibration, robot cell calibration, etc.
Experiences :
- Machine Learning
- Computer Science
- Computer Engineering
- Electrical and Electronic Engineering
- Mechanical Engineering


Note:
- Prefers the student from NTU, NUS, SUTD

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