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STAFF SOFTWARE ENGINEER

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 a Staff Software Engineer to join our Corporate R&D Center. The Staff Software 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

• Lead multiple projects in developing 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, operations, material formulation, etc.)

• Assist in developing high-performance AI/ML infrastructure (local/cloud-based software) to deploy AI hub projects.

• Develop multiple algorithms powered by machine learning to work on experimental and simulation data sets

• Create awareness across TE of the AI modelling capabilities of the Singapore Corporate R&D Center

• Work in a multi-disciplinary environment with specialists in data science, electronics, material science, mechanics, additive manufacturing and other fields

• Work with local and global TE sites, external customers, and vendors to address tactical or strategic needs

• Partner with Singapore research institutes to develop advanced AI techniques and assist with validation and knowledge transfer of outsourced projects

Job Requirements

• Master's Degree in Computer Science Engineering (or related) with 8-12 years (or Bachelor degree with 10-15 years, or PhD degree) plus relevant working/research experience Keen interest in R&D involving coding and data

• Deep understanding of back-end development, data science and machine learning;

• Familiar with machine learning algorithms involving multiple data types

• Strong programming skill in Python, HTML, JavaScript, SQL, Bash or similar languages

• Understanding of the following: data processing techniques, high performance computing, cloud computing (like AWS), deployment and maintenance, web services, object-oriented programming (OOP), etc.

• Knowledge of front-end development and database management

• Knowledge of Linux operating system (Ubuntu, CentOS, etc.)

• Experience with version control Gitlab/GitHub or similar platform

• Experience in effective project management strategies and tactics

Preferred:

• Familiarity with TE products, such as connectors, cables, sensors etc.

• Broad knowledge of different materials’ mechanical, electric, thermal properties, including polymers, metals and alloys

• Broad knowledge of manufacturing processes (molding, extrusion, plating, stamping, assembly etc.), material development and product design

• Experience of programming for mechatronics and robotics

Competencies

Values: Integrity, Accountability, Inclusion, Innovation, Teamwork

Location:

Singapore, 01, SG, 239920

City: Singapore

State: 01

Country/Region: SG

Travel: Less than 10%

Requisition ID: 124303

Alternative Locations:

Function: Engineering & Technology

TE Connectivity and its subsidiaries, affiliates, and operating units (collectively, the "Company") is committed to providing a work environment that prohibits discrimination on the basis of age, color, disability, ethnicity, marital status, national origin, race, religion, gender, gender identity, sexual orientation, protected veteran status, disability or any other characteristics protected by applicable law or regulation.