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

　　TE Connectivity's R&D/Product Development Engineering Teams conceive original ideas for new products, introduce them into practice. They are responsible for product development, and qualification from market definition through production and release; assist in the qualification of suppliers for new products to ensure suppliers deliver quality parts, materials, and services for new or improved manufacturing processes; conduct feasibility studies, testing on new and modified designs; direct and support detailed design, testing, prototype fabrication and manufacturing ramp. The R&D/Product Development Engineering Teams provide all required product documentation including, but not limited to, Solid Model, 2D/3D production drawings, product specifications, and testing requirements. They create and modify detailed drawings and drafting or conceptual models from layouts, rough sketches or notes and contribute to design modifications to facilitate manufacturing operation or quality of product. Typical fields of expertise include: materials, mechanics and systems, electrical, optics, chemistry, software, automation systems, packaging, testing and measurement, and manufacturing of electrical, mechanical and electronic components, products, and their integration into systems.

　　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 Responsbiitilies

　　Adopt cutting-edge data science techniques (using in-house coding tools or commercial software) to solve engineering problems (such as manufacturing process development, tool design, design for manufacturing DFM etc.)Lead multiple projects in developing data science solutions to support new product development in TE Collect and analyze experimental and simulation data from various sources, clean and transform it, and then analyze it to identify trends, patterns, and insights.Use statistical and machine learning techniques to build predictive models that can be used to forecast future outcomes or make informed decisions.Communicate findings to stakeholders in a clear and concise manner. This may involve creating reports, visualizations, or presentations.Work in a multi-disciplinary environment with specialists in data science, electronics, material science, mechanics, additive manufacturing and other fieldsWork with local and global TE sites, and external customers and partners, to address urgent or strategic needs Partner with Singapore research institutes to develop advanced AI techniques, and assist with validation and knowledge transfer of outsourced projectsCreate awareness across TE of the AI modelling capabilities of the Singapore center

　　Job Requirements

　　Bachelor's or higher degree in Mechanical and Production (or related) plus 5 years experience in manufacturing process developmentKnowledge of manufacturing processes (molding, extrusion, plating, stamping, assembly etc.) and design for manufacturing (DFM) Deep understanding of data science and machine learning algorithms involving multiple data types (having a second degree on data science is a plus)Keen interest in R&D involving coding and data processingStrong programming skill in Python, C++ or similar languages

　　Preferred:

　　Familiarity with TE products, such as connectors, cables, sensors etc. Broad knowledge of different materials' mechanical, electric, thermal properties, including polymer, metal and alloy Familiarity with project management

　　Competencies

　　Values: Integrity, Accountability, Teamwork, Innovation