Total 2,224 purchasing engineer job vacancies in Information Technology category

Network Engineer (CISCO)

Our Esteemed and Reputable Client is looking for a Network Engineer.

Requirements:

• Proficient in handling Network Infrastructure.
• Good in Network LAN, WAN administration and configuration.
• Proficient in LAN/WAN Systems, Routers, Switches, Firewalls, Servers and Enterprise Network Management.
• Experience in System and Network configuration and troubleshooting.
• Good in System,Windows, Server Configuration and Administration.
• Possess CISCO Certification (CCNA).
• Good in liaising with Stakeholders, Clients and Business Users.
• Min. 2 years of Network management (CISCO) experience.
• Min. Diploma/ Degree in any related discipline.
• Strong communication and persuasion skills
• Only Singaporeans.

We respect your privacy and all communication will be treated with confidentiality

If you have meet the job requirements that we are looking for or wish to find out more on this role, please contact us or apply in-confidence to us with you updated MS Word Resume to : jeline@starcareerconsulting.com

Yong Jeline (Reg. No. R1101621)

STAR CAREER CONSULTING PTE LTD (EA License: 20C0353)

What you will do:

The Senior Application Engineer is responsible for technical support – primarily customer quotations and business development case studies for various composite applications. Key emphasis will be on the ability to understand customer requirements and rapidly demonstrate how composite based solutions can be utilized to provide solutions with costing, timing, and resources included in the proposals. This position will require travel with the business development team to customer facilities during visits to discuss these future opportunities in depth.

How you will do it:

• Provides customer support by responding to requests for technical queries with detailed analysis of building management system, schedule of creation, tooling costing, and submittal of design and process improvements, when applicable, to meet all customer product needs.
• Works with engineering, sales, and ops staff to understand standard component fabrication techniques, standard composite materials to use, and current demands of our customers to formulate design details for the sales staff and our customers.
• Provides product technical engineering information by creating and giving presentations on customer proposals. This contains, but is not limited to, 3D representations of finished goods, 3D representations of tooling, etc.
• Prepares cost estimates by studying blueprints, plans, and related customer documents; consulting with engineers, and other professional and technical personnel.
• Conceptual design of composite components and assemblies to support proposals
• Generate solid and surface component and assembly CAD models
• Ability to compose detailed bill of materials for proposals
• Work as part of a team of design and engineering and ops staff
• Knowledge of ACMV and controls associate with Johnson Control Metasys will be an advantage

What we look for:

• Bachelor's Degree in Process & Instrumentation Engineering, Electrical Engineering with minimum 8 years relevant working experience
• Possess knowledge in PLC programming. Pcvue or ICONICS software
• Transportation composite or other composite experience preferred
• Willing to learn new things
  Require interaction with clients, consultants and sub-contractors, etc.

We are looking for a skilled and experienced Data Science Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining robust data pipelines to support the processing and analysis of clinical study and digital device sensor data. As a Data Science Engineer, you will work closely with data scientists and software engineers to ensure the efficient and reliable flow of data from source systems to analytical tools and platforms.

Responsibilities:

• Design, develop, and maintain scalable data pipelines to ingest, transform, and load clinical study data from various sources, including digital device sensors.
• Optimize data storage and retrieval processes in cloud-based platforms to ensure high performance and reliability.
• Collaborate with data scientists to integrate data processing pipelines with AI-powered algorithms and third-party analytical tools or platforms.
• Implement data quality checks and monitoring mechanisms to ensure the integrity and accuracy of the data.
• Troubleshoot and resolve issues related to data pipeline performance, reliability, and scalability.
• Work closely with software developers, system architects and other cross-functional teams to develop data-driven business solutions.
• Stay up-to-date with emerging technologies in AI & Cloud computing and best practices in data engineering to continuously improve data processing pipelines and infrastructure.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience in designing and building data pipelines using ETL tools and frameworks such as Apache Spark, Apache Beam, or Apache Airflow.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong understanding of database systems, data warehousing concepts, SQL and NoSQL.
• Experience with AI and Cloud Computing: Hands-on experience with cloud platforms like AWS and familiarity with AI solutions in these environments.
• Excellent problem-solving and troubleshooting skills with a strong attention to detail and quality.
• Effective communication and collaboration skills with the ability to work in a team environment.

Preferred Qualifications:

• Experience with containerization and orchestration tools such as Docker and Kubernetes.
• Familiarity with big data technologies such as Hadoop, Hive, or Presto.
• Knowledge of distributed computing frameworks such as Apache Hadoop or Apache Spark.
• Familiarity with ElasticSearch or AWS OpenSearch is plus
• Prior experience working with healthcare or clinical data is a plus.

• Company located at Woodlands

• Working hour: 8:30am – 5:30pm (Monday– Friday)

• Variable Bonus + Excellent Welfare

• Well Established Automation Manufacturing Company (MNC)

Job Scope

• Perform laser unit installation and alignment on laser depaneling machines.
• Configure depaneling machines according to internal specifications and customer requirements, including camera calibration, field calibration, and software debugging.
• Conduct health checks on incoming laser units and coordinate with vendors to resolve defects or delivery issues.
• Maintain records of laser parts and optical components installed on machines.
• Support laser processing experiments and studies as needed, including laser cutting trials and measurements of processed samples.
• Troubleshoot laser-related issues on deployed depaneling machines once proficient.
• Provide customer training, demonstrations, and guidance on process parameters and machine operations once proficient.
• Collaborate with internal design teams and external vendors to develop solutions for unique customer applications once proficient.

Requirement

• Diploma / Degree in Engineering or other related field
• 3 to 5 years of relevant experiences in automation industry
• Experience in optics and laser systems is advantageous

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume:

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

KHOOSOT MEI (R21102604)

EA Recruitment Pte Ltd

EA License No: 21C0492

Responsibilities:

• In charge of establishing the process and work in the team to implement risk management best practices in projects
• Implement and maintain the office's ISO 13485 and IEC 62304 compliant quality management system processes and procedures across departmental work and projects.
• Responsible in providing guidance and development support to the projects handled
• Taking charge of validating and advising project teams on regulatory, quality and risk requirements
• In charge of implementing and maintaining ISO 13485 and IEC 62304-compliant quality management system processes and procedures
• Responsible in
• In charge of managing project tasks which includes ensuring of timely completion of project milestones and meeting KPIs
• In charge of compliance with quality, regulatory and organisational policies and systems while supporting required record-keeping and documentation.

Requirements:

• Min Degree in Engineering /Science or relevant
• Min 2 years of working experience in QMS, Risk Management and design & development in medical industry
• Experience in ISO13485 /IEC62304 audit is required

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Infrastructure Platforms, Data Center Services team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will take ownership of technical delivery end-to-end while actively engaging with stakeholders to translate business needs into well-planned, high-quality software solutions. This role demands a self-starter who thrives in a collaborative environment, can manage competing priorities, and drives engineering excellence across the team.

Job responsibilities

• Design, develop, and deliver full stack software solutions across frontend (React) and backend (Node.js/TypeScript, Python) services, applying strong problem-solving skills to break down complex technical challenges.

• Engage directly with stakeholders and product owners to gather requirements, clarify scope, and ensure technical solutions align with business objectives.

• Lead development planning activities including backlog refinement, sprint planning, effort estimation, and technical roadmap definition, ensuring the team delivers incrementally and predictably.

• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.

• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

• Develop secure, high-quality production code and review peers' work to maintain consistency, reliability, and adherence to engineering standards.

• Identify opportunities to eliminate or automate remediation of recurring issues to improve the overall operational stability of applications and systems.

• Maintain clear and organised documentation including technical designs, architecture decisions, and runbooks, ensuring knowledge is shared and accessible.

• Leverage AI-assisted development tools (e.g., GitHub Copilot, AI code review assistants) to improve productivity, code quality, and delivery speed, and champion their effective adoption within the team.

• Participate in communities of practice across Software Engineering to drive awareness and adoption of modern tooling, patterns, and best practices.

• Mentor and support junior engineers

Required qualifications, capabilities, and skills

• Bachelor’s Degree in Computer Science, Cybersecurity, Data Science, or related disciplines

• Formal training or certification in software engineering concepts and 5+ years of applied experience delivering production software.

• Hands-on practical experience across the full Software Development Life Cycle, including system design, application development, testing, CI/CD pipelines, and operational support.

• Strong proficiency in frontend development with React (including state management and testing with Jest/React Testing Library).

• Advanced knowledge in backend development using Node.js and TypeScript to build RESTful APIs, along with strong experience in writing and maintaining comprehensive unit, functional, and integration tests.

• Demonstrated ability to communicate effectively with technical and non-technical stakeholders, translating business requirements into actionable technical plans.

• Experience working collaboratively in agile teams and participating in Scrum ceremonies (stand-ups, retrospectives, sprint planning); experience facilitating or running ceremonies.

• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.

• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

• Experience with databases such as MySQL or similar, along with exposure to cloud platforms and infrastructure-as-code practices, and familiarity with API documentation standards such as OpenAPI/Swagger.

Preferred qualifications, capabilities, and skills

• Experience with other modern frontend frameworks (e.g., Angular). Experience with Python for backend services or tooling.

• Proficiency with design and prototyping tools such as Figma for collaborating on UI/UX requirements is highly desirable.

• Experience with traditional AI/ML, such as predictive analysis, is highly desirable.

To apply for this position, please use the following URL:

https://ars2.equest.com/?response_id=1d56fbfcc83ec916eb3d6e4d4a22d847

Responsibilities:

• In charge of establishing the process and work in the team to implement risk management best practices in projects
• Implement and maintain the office's ISO 13485 and IEC 62304 compliant quality management system processes and procedures across departmental work and projects.
• Responsible in providing guidance and development support to the projects handled
• Taking charge of validating and advising project teams on regulatory, quality and risk requirements
• In charge of implementing and maintaining ISO 13485 and IEC 62304-compliant quality management system processes and procedures
• Responsible in
• In charge of managing project tasks which includes ensuring of timely completion of project milestones and meeting KPIs
• In charge of compliance with quality, regulatory and organisational policies and systems while supporting required record-keeping and documentation.

Requirements:

• Min Degree in Engineering /Science or relevant
• Min 2 years of working experience in QMS, Risk Management and design & development in medical industry
• Experience in ISO13485 /IEC62304 audit is required

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

Designs, analyzes, develops, modifies and evaluates power electronic parts, components, sub-systems, algorithms, or integrated circuitry for electrical/electronic equipment and other hardware systems. Conducts feasibility studies, design margin and validation analyses and empirical testing on new and modified designs. Assists in architecture development and assessment. Evaluates reliability of materials, properties, designs, and techniques used in production. May direct support personnel in the preparation of detailed design, design testing and prototype fabrication.

Management Level Definition:

Contributions include applying developed subject matter expertise to solve common and sometimes complex technical problems and recommending alternatives where necessary. Might act as project lead and provide assistance to lower level professionals. Exercises independent judgment and consults with others to determine best method for accomplishing work and achieving objectives.

Responsibilities:

• Responsible in designing and implementing analog and power circuits, conducting design validation test and working cross functionally with other development groups.
• Research and enable innovative solutions for cost, size, power efficiency and reliability, including filing patents and enabling next generation technology.
• Generate design documentations, perform schematic capture, design board layouts, circuit bring-up.
• Solves complex technical issues, owns the technical aspects of assigned responsibility, including investigations and root cause analysis of field escalations.
• Plan and schedule to meet goals, deliverables and deadlines.
• Provides guidance and mentoring to less- experienced staff members.

Education and Experience Required:

• Bachelor's or Master's degree in Electrical Engineering.
• Typically, 4-6 years' experience.

Knowledge and Skills:

• Highly proficient in power electronics and DC/DC converters implementation.
• Strong circuit analysis and synthesis skills.
• Experience with PCA development, analog simulation and debugging tools.
• Excellent understanding of the characteristics of power semiconductors/passives and principles of switching regulators.
• Using empirical analysis, modeling and testing methodologies to validate component, circuit, and hardware designs and thermal/emissions management
• Excellent written and verbal communication and inter-personal skills to enable global and cross-functional engagements.
• Ability to effectively communicate power architecture, design proposals and negotiate options at management levels.

Job responsibilities:

• Develop machine learning computer vision applications in object detection, classification, segmentation and recognition for gemstones

• Develop LLM-applications specific to gemstone domain leveraging on latest frameworks

• Conduct User requirements, scope the AI/computer-vision project and prepare documents to define nature of dataset required for machine-learning model training 

• Work collaboratively with an entrepreneurial team of IOT-product engineers, machine learning & data scientist and software engineers, both in-house or Vendors, to successfully develop and deploy a cutting-edge solution

• Develop a comprehensive MLOps environment to manage the entire lifecycle and pipeline of machine learning projects, as well as maintain a well-documented code repository

• Conduct research and product development projects using internal gatekeeping process, prepare project and user requirements specifications, execute experiments and investigations, document and report findings, communicate to key stakeholders, and handover to downstream teams

• Execute the necessary data preparation & pre-processing, AI-model building, testing, validation and deployment to ensure reliable and scalable AI solution

Requirements:

• Bachelor’s or master’s degree in computer science, data science, artificial intelligence or related engineering fields.

• Minimum 3 to 5 years of proven experience in developing ML/DL architectures to solve real-world computer vision problems

• Strong proficiency in Python with hands-on experience in mainstream deep learning frameworks (PyTorch and TensorFlow) and their associated computer vision libraries (e.g., OpenCV, torchvision, timm, Hugging Face Transformers)

• Experience in computer vision with OpenCV and modern deep learning architectures, with a strong emphasis on Vision Transformer (ViT)-based models (e.g., DETR, DINOv2, SAM) and vision–language foundation models such as CLIP and its variants (SigLIP, BLIP); working knowledge of contrastive learning, self-supervised pre-training, and few-shot / zero-shot adaptation for downstream tasks including detection, segmentation, classification, and retrieval

• In-depth understanding of digital image processing, image transformation techniques, real-time image analytics and feature extraction in computer vision

• Experience in large-scale image data processing and architecting of data pipelines

• Possess data storytelling, information visualisation and technical writing skills

• Excellent research and problem-solving abilities, whilst maintaining curiosity about new things and enthusiasm to learn and share latest methods/techniques within the team

• Hands-on experience with cloud platforms (AWS, GCP) and modern backend/serving stacks (FastAPI, Redis, Docker) for end-to-end AI model development, deployment, and scalable inference

• Hands-on proficiency with modern AI coding agents (e.g., Claude Code, Cursor, GitHub Copilot), including their extensibility features such as Skills, Plugins, sub-agents and MCP integrations; strong prompt-engineering skills and the ability to leverage AI-assisted development workflows productively in day-to-day engineering tasks

• Command good communication and collaboration skills, with a strong sense of responsibility, integrity and reliability

Product area

Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses.

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Additional job description

The team mission is to provide users with a digital version of their real-world identity that they can use offline and online as a replacement for physical identity cards. We use International Organization for Standardization (ISO) and OpenId standards to allow governments to provision identity credentials to Google Wallet, and then present these credentials to interested parties.

Qualifications

Job responsibilities

• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  
• Contribute to the development of features within Google Mobile Services (GMS) Core, in modules related to payments, tap-and-pay, and mobile document storage.
  
• Engage in the full software development lifecycle, from concept and design to testing, release, and monitoring.
  
• Write code in Java or Kotlin for the Android platform. Troubleshoot and debug issues across the stack.
  
• Collaborate with Product Managers, User Experience (UX) Designers, and other Engineering teams across Wallet, Android, and Google to define and implement user-facing features.
  

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
  
• 2 years of experience with software programming in Java or Kotlin.
• 2 years of experience with Android application development.
  
• 1 year of experience building software for data privacy or identity management.

Preferred qualifications

• Master's degree or PhD in Computer Science, or a related technical field.
• 2 years of experience with data structures and algorithms.
• Experience with digital credentials and their associated standards.
• Experience developing accessible technologies.

Responsibilities

• Analyse, design, develop, implement, and support Equities Trading systems within a Banking and Finance environment.

• Participate in end to end system solution delivery

• Design, implement, and support FIX protocol based interfaces for order routing, execution, and trade processing.

• Implement and support message driven architectures using Message Queue (MQ) platforms for internal and external system integration.

• Provide hands on support for systems running on Oracle databases and Linux/Unix platforms.

• Support equities trading functions including order management, executions, trade capture, confirmations, and downstream settlement feeds.

• Work closely with business users, application vendors, project managers, and infrastructure teams to deliver stable and scalable solutions.

• Perform production support, troubleshooting, root cause analysis, and performance tuning for trading systems.

• Ensure all solutions comply with security, risk, regulatory, and architectural standards.

• Prepare and maintain technical documentation, operational procedures, and handover m

Skills/Requirement

• Minimum 6 years of relevant experience in Banking & Financial Services IT.

• Proven experience in implementing and supporting Equities Trading systems in a front office or market technology environment.

• Strong experience with FIX Protocol (e.g. FIX 4.x / FIX 5.x) for trading and market connectivity.

• Strong technical and platform expertise in Equity/FX trading systems, market data platforms, SaaS/cloud implementations, and mobile application development.

• Hands-on experience with MS SQL Server, Oracle, Windows, Linux, shell scripting, messaging queues, JBoss, Apache, Tomcat, Java, J2EE, JSP/Servlets, FIX messaging, CORBA, React Native, iOS/Android deployment, DevOps tools (Jenkins, Bitbucket), and scheduling tools (Control-M).

• Skilled in setting up applications within newly provisioned environments, including network, storage, agents, databases, Aldon, Control-M, Splunk, Geneos, and other monitoring tools.

• Hands on experience with Message Queue (MQ) technologies for system integration.

• Solid working experience with Oracle databases (SQL, performance tuning, data analysis).

• Strong exposure to Linux / Unix environments, including shell scripting.

PERSOL Singapore Pte Ltd • EA License No. 01C4394 • EA Registration No. R1551626 (SUJA THERESA FRANCIS)

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This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

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Job Description

• Industry/ Organization Type: Project Management Solution Provider
• Position Title: Technical Sales /Inside Sales Engineer (Valves products)
• Working Location: North – Tagore Lane (Nearest MRT: Springleaf)
• Working Hours: 5 days (Monday to Friday: 8.45am – 6pm)
• Salary Package: Up to SGD 4500 + AWS + Variable Bonus
• Duration: Permanent

Key Responsibilities

• Supervise and administer multifaceted projects in the oil & gas sector, focusing on structural components, piping & fittings, and valves
• Work with interdisciplinary teams to guarantee the effective completion of projects
• Formulate and apply purchasing strategies to enhance cost efficiency and product quality
• Perform market analysis and assess suppliers to ensure optimal partnership selections
• Negotiate and formalize agreements with vendors and suppliers to secure favorable terms
• Track project milestones to maintain strict adherence to deadlines and budget constraints
• Ensure all project activities comply with tender specifications and client requirement

APPLY NOW!!!

• Min. Diploma in Engineering
• Min. 2 years' experience in Project Management or Sales, specifically with valves in the Oil & Gas and Marine/Offshore sectors
• Strong project management skills and a customer service orientation are essential

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #76244 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

The Edge & Network Services (ENS) team at Meta is looking for individuals ready to tackle the challenges and opportunities we face as we contribute to our mission of connecting the world. This global team offers a unique career opportunity to work alongside engineers solving complex problems using cutting-edge network infrastructure technologies. For this role, we are looking for a Network Infrastructure Design Engineer with demonstrated experience in developing and delivering network infrastructure solutions at scale in a data center or globally distributed Point of Presences (POPs).

Are you ready to shape the future of Meta's global network reach? As a member of the ENS Foundation Design team, you will support capacity expansion of Meta’s global Edge/Backbone network and compute presence. You will work closely with cross-functional design, planning, and deployment teams to develop space, power, cooling, and connectivity infrastructure design requirements and drive execution of these needs within Meta’s global colocation spaces including POPs, Cable Landing Stations, and Backbone midpoint sites. This role is execution and delivery focused supporting the APAC region.

Join us in this exciting endeavor and make a real impact on Meta's future!

Responsibilities

• Designs, reviews, and optimizes ICT (Information and Communications Technology) physical infrastructure including structured cabling, floor rack layouts, network hardware, and integrated communications systems for large-scale network deployments
• Develops and enforces Meta ICT design standards, best practices, and compliance with relevant industry standards (e.g., TIA/EIA, ISO/IEC, BICSI)
• Develops optimized layouts of edge/backbone midpoint site floorplans, allocates space assigned to network functions, optical, backbone, IP, and compute
• Delivers on time Engineering Design Packages related site infrastructure scope for sourcing and capacity planning teams
• Manages global space, power, cooling, structured cabling, and other inside plant infrastructure delivery requirements to support Meta edge/backbone network deployments across owned and colocation facilities
• Engages in system level facility sizing of utilities, switchgear, UPS/DC power plant, PDUs, mechanical cooling, and Low Voltage power distribution
• Proactively engages with various data center colocation providers in evaluating their facilities and recommends corrective actions to meet Meta standard design requirements
• Collaborates with internal and external design and planning engineers to execute projects related to cage and suite network/compute infrastructure build-outs
• Leads weekly syncs with external colocation vendors and provides technical support and progress reporting on cage and suite build-outs and acceptance
• Manages and tracks project timelines, risks, and successfully navigate projects to on-time completion
• Leads site acceptance activities with various colocation providers as per Edge network facility acceptance standards
• Coordinates multiple projects in parallel and efficiently executes work through vendors at scale
• Collaborates closely with Meta business and technical teams to provide input on space/power delivery and associated deployment projects, as well as other major initiatives that may affect capacity delivery
• Updates Meta’s internal tooling and data record keeping in support of edge/backbone midpoint cage and suite build-outs
• Coordinates related Owner Furnished/Contractor Installed equipment delivery from Meta’s inventory to colocation facilities
• Proactively works and aligns with network planning and investment teams on the roadmap and material forecasting needs for on-time delivery of projects
• Applies lessons learned from projects to support continuous improvement initiatives
• 20% to 30% travel required based on project demand

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 7+ years of work experience with designing and constructing large scale data center or similar mission critical infrastructure including specifying suite level space, power, cooling, and structured cabling connectivity requirements for network and compute hardware
• Demonstrated experience in project management, including planning, execution, and delivery of complex technical projects
• Working knowledge of interpreting and analyzing electrical/mechanical single line diagrams
• Working knowledge of various regional data center electrical and cooling configurations, IEC, NEMA standards, AC/DC power concepts, power redundancy scenarios
• General knowledge of fiber optic components, structured cabling, pathways, and interconnect products, technologies, and design concepts
• Demonstrated understanding of engineering principles related to infrastructure architecture, including space line up, air flow, cooling, etc
• General knowledge of data center, colocation, and isolated hut environments, including engineering principles related to power and infrastructure
• Demonstrated experience with field-based work in POPs, data centers, Carrier-neutral facilities, or telecom exchanges
• Experience with communication and directing tasks with carriers and colocation vendors
• Demonstrate experience to work effectively in an ambiguous environment
• Collaborate with global teams to drive business results. Must possess proven planning, prioritization, and communication skills, with the experience to manage multiple tasks and adapt to changing business needs
• Proven skill to analyze technical situations, troubleshoot issues, and solve problems with limited supervision
• Working knowledge of internet networking technologies (TCP/UDP, DHCP, DNS, routing, switching concepts), optical transport technologies (DWDM and Optical transceivers), and network redundancy and failover concepts
• Working knowledge of Revit/AutoCAD/Bluebeam/BIM360/ACC/Procore etc

Preferred Qualifications

• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Proficient in Revit/AutoCAD/Bluebeam/BIM360/ACC/Procore etc
• Thorough knowledge of optical theory, transport technologies, and the operation of optical transport systems and IP backbone network technologies
• Experience with optical network design, installation, and maintenance for service providers or global enterprise networks
• Experience with ICT design and construction administration for hyperscale data centers and global backbone network capacity enablement projects
• Data center design or relevant structured cabling design certifications (eg. BICSI RCDD)
• Registered Professional Engineering (PE) licensure in Electrical or Mechanical disciplines
• Advanced degree in engineering discipline
• Familiarity with the Linux based systems and experience with scripting and automation (Bash, Python, Perl)
• Experience integrating AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Job Description

We are looking for Senior/Staff Software Engineers to grow our Edge AI & Systems software team to the next level. This team works within the larger ASIC team to architect and enhance Neural Network solutions in the Video Processor roadmap including these current and older products:

• https://www.ovt.com/products/oax8000/
• https://www.ovt.com/products/oax4600/
• https://www.ovt.com/products/oa7100/

This position works in a smaller team that specifies, develops and delivers the toolchain that allows our customers and partners to develop or port AI models to run optimally on our Neural Processing Units.

Responsibilities

• Specify and develop new toolchain features for existing and new NPU architectures, working with the inference engine sub-team
• Enhance, maintain and support existing toolchain features, and modify model network layers for NPU optimality, working with the application engineering teams and sometimes customers/partners.
• Constantly improve productivity through automation in all areas

Skills

• Strong Python class based product development skills based on knowledge of design patterns
• Strong understanding of all aspects of a compiler and related development and debugging technologies, code generation, program analysis, and pipeline optimizations
• Good communication, collaboration, task estimation & reporting, CI/CD via tools such as Confluence, Git, JIRA etc.

Familiarity with the following is a plus:

• Deep Learning compilers like TVM
• Deep Learning framework - PyTorch
• Eclipse development for toolchain frontend
• CPU/DSP/GPU/NPU architectures

Requirements

1. Ph.D./MS/BS in Computer Science or Computer Engineering
2. At least 5 years of commercial development experience of which at least 3 are in compiler-related areas

Software Engineer (PLC Programming)

• Working days: Monday - Friday 830am to 530pm
• Location : Ang Mo Kio Techplace
• Salary: $4,000 - $6,000

Job Responsibilities

• Follow Software Development Life Cycle (SDLC) to develop high-quality, maintainable software meeting user requirements
• Draft functional and detailed design specifications
• Interpret client requirements, identify design parameters, and ensure solutions are delivered accurately within budget and timeline
• Participate in control system requirement analysis
• Design and update electrical schematics drawings
• Source and select electrical components, prepare and issue BOM
• Perform PLC & HMI programming, system implementation, testing, and debugging
• Maintain detailed documentation
• Coordinate with internal teams to meet project requirements and schedules
• Perform basic electrical wiring and troubleshooting
• Analyze existing software and propose improvements
• Ensure timely resolution of software and electrical issues
• Provide remote and on-site troubleshooting support at customer sites

Job Requirements

• Diploma / Degree in relevant Engineering discipline
• Minimum 2 years of experience in automation / semiconductor industry
• Strong PLC & HMI programming skills (preferably Omron, Mitsubishi, Proface)
• Programming skills in Motion Control, Analog, PIDs, Process Control.Motion Control, Analog, PID, Process Control (added advantage to have)
• Knowledge of high-end fieldbus communication (eg. Modbus, EtherCAT, EIP) is an advantage

Cheong Yeat Long | R25145358

The Supreme HR Advisory Pte Ltd | EA 14C7279