Job Responsibilities:
Develop Optical commodity strategies aligned with business objectives.Monitor global market trends, supply-demand dynamics, and geopolitical factors.Mitigate risks related to commodity price fluctuations.Identify and develop new suppliers in collaboration with cross-functional teams.Optimize the supplier base to enhance efficiency and quality.Conduct RFQs for NPI (New Product Introduction) projects.Drive cost reduction initiatives through comprehensive cost analysis, market data evaluation, and negotiation.Collaborate with engineering teams to lead Value Analysis/Value Engineering (VA/VE) projects.Coordinate cross-functional efforts to achieve project KPIs including savings, lead time reduction, minimum order quantity optimization, dual sourcing, and localization.Lead quarterly supplier scorecard reviews to improve supplier performance in quality, delivery, and cost.Identify risks, opportunities, and underperforming suppliers; implement corrective actions to mitigate risks and ensure continuous improvement.Collaborate with plant teams as necessary.Addressing Business Growth and Market DemandsImproving Procurement Efficiency and Reducing CostsAccelerating Decision-Making and Market AdaptabilityStrengthening Supplier Management / Long-Term Partnerships/ supplier strategyThis position will strengthen strategic partnerships with key suppliers with multi skillsSupporting Successful NPI Project Execution. Enhancing Localization and Global Expansion
Job Requirements:
Bachelor's degree or above in a relevant fieldFluent in spoken and written English10 years of experience working in a global/region commodity role in a multinational company.5 years of people management experience5 years of Optical related Engineering background is advantageous.Proven ability to lead projects, coordinate, problem-solve, and make decisive decisions to achieve resultsProactive and detail-orientedStrong analytical and cross-functional skillsAbility to understand global markets, collaborate effectively with global teams, and experience in working with suppliers in the Asia-Pacific region and GlobalUnderstanding of optical transceivers, optical components, CPO, optics passive fiber connectivity, Silicon photonics, Lasers (EML, Vcsel etc) and fiber interfacesoptical transmission, optical jumpers,components used in AI/accelerated computing interconnects.Solid understanding of high speed optical transceiver architecture: optics chain, fiber interfaces and optical budgets.Knowledge of optical devices and materials: Understanding of the manufacturing flow: and key yield, capacity, and lead time drivers.Basic familiarity how these influence component selection and cost.
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:
Run multiple projects in developing data science solutions to support new product development in TEAdopt 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.)Develop multiple algorithms powered by machine learning and generative AI to work on experimental and simulation data setsWork in a multi-disciplinary environment with specialists in data science, mechanical engineering, material science, mechanics, additive manufacturing and other fieldsCollaborate with multiple business units to define deliverable, requirements, and functionalities.Create awareness across TE of the AI modelling capabilities of the Singapore centerWork with local and global TE sites, and external customers and partners, to address urgent or strategic needsPartner with Singapore research institutes to develop advanced AI techniques, and assist with validation and knowledge transfer of outsourced projects
Job Requirements:
Required:
Master degree in Mechanical Engineering (or related) with 3-4 years (or Bachelor degree with 4-6 years) plus relevant working/research experienceKeen interest in R&D involving coding and dataDeep understanding of data science and artificial intelligence (having a second degree on data science is a plus)Broad understanding of multiphysics simulation (such as finite element analysis) along with experience in CAD (such as generative design)Strong programming skill in Python or similar languagesBroad knowledge of manufacturing processes, material and product designExperience in effective project management strategies and tactics
Preferred:
Familiarity with TE products (connectors, cables, sensors etc.) and manufacturing process, (molding, extrusion, plating, stamping, assembly)Familiarity with project management tools
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:
Design, implement, and deploy an enterprise-scale agentic AI platform to support engineering users in product design and manufacturing process development, ensuring robust, scalable, and reliable system performance.Collaborate with multiple business units, IT, and global engineering teams to define and execute the agentic platform and architecture strategy, including scalability, governance, and cross-functional adoption.Develop agentic workflows and orchestration frameworks, while providing technical support and guidance to users to ensure effective platform utilization.Evaluate and manage external vendors, and drive program execution to deliver platform capabilities and business impact.Identify and apply the latest developments in AI technology and high-performance computing to continuously improve the platform and its capabilitiesCreate awareness across TE of the AI modeling capabilities of the Singapore Corporate R&D Center 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, Artificial Intelligence, Software Engineering, or a related field with 8-12 years (or Bachelor degree with 10-15 years, or PhD degree) plus relevant working/research experience Expertise in LLMs, multi-agent/agentic AI frameworks and relevant programming skillsEnterprise AI platform deployment experience with architecture knowledge (cloud, DevOps, MLOps, etc.)Strong communication and stakeholder managementAbility to lead programs independentlyKeen interest in R&D involving coding and data Experience in effective project management strategies and tactics Basic understanding of engineering knowledge such as materials/manufacturing processes
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
