At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.

　　Job Overview

　　Tyco Electronics Singapore Pte Ltd (TE Connectivity) is looking for an R&D Scientist/Engineer to join our Corporate R&D Center. The Scientist/Engineer will be part of a newly formed Artificial Intelligence team to create an AI Hub for TE in Singapore. Team members will collaborate with R&D peers, business unit partners as well as local university and government research centers to undertake projects that will embed AI in TE's design and process development work flows to deliver a competitive advantage to TE's technologies. This position is based at our Singapore HQ.

　　The Singapore Corporate R&D Center is chartered to work with the CTO's and Advanced Development Groups of TE Business Units to identify technical areas of interest for R&D and develop forward looking technologies that will deliver broad value to the business. In order to improve the New Product Development process, TE is expanding our Artificial Intelligence capabilities as a part of our Digitalization strategy to improve efficiency, decrease cost, and decrease time to market.

　　Job Responsibilities

　　Assist in development of data science solutions to support new product development in TE Adopt cutting-edge data science techniques (using in-house coding tools or commercial software) to solve engineering problems (such as product design, manufacturing process development, material formulation, etc.) Assist in developing algorithms utilizing machine learning to analyze experimental and simulation data sets. Assist in developing and adopting high-performance AI/ML infrastructure (local/cloud-based software) to support AI hub projects and engineering users focused on product design and manufacturing process development.Provide technical support and guidance to users, ensuring optimal system utilization.Maintain local server and manage cloud computing platform for reliable development and service.Work in a fast paced, multi-disciplinary environment with specialists in data science, mechanical engineering, material science, mechanics, additive manufacturing and other fields

　　Job Requirements

　　Bachelor's degree in computer science engineering (or related) plus relevant working/research experience Deep understanding of back-end software development, data science and machine learningKnowledge of front-end development and database management Proven experience of Linux operating system (Ubuntu, CentOS, etc.) Strong programming skill in Python, HTML, JavaScript, SQL, Bash or similar languages Familiar with machine learning algorithms involving multiple data types. Experience with version control Github/Gitlab or similar platform Basic understanding of engineering knowledge such as materials/manufacturing processes

　　Preferred:

　　Familiarity with TE products, such as connectors, cables, sensors etc. Broad knowledge of manufacturing processes (molding, extrusion, plating, stamping, assembly etc.), material and product design

　　Competencies

　　Values: Integrity, Accountability, Teamwork, Innovation