Total 12,781 job vacancies in Singapore

M & E Engineer

Work Location: Changi, office at (Lavender area)

Working days: 5.5 days 8am to 5pm, Alternate Saturday 8am to 5pm Full Day

Salary: $3000 to $4000

Requirements

• Degree in Mechanical or Electrical Engineering or equivalent
• Good technical knowledge in mechanical & electrical trades.
• Good knowledge of Local Code/Regulation Knowledge pertaining to M&E services, building construction, and safety.

Job scope

• Control site progress & installation quality as per approved Shop Drawings, Technical Submissions, and Equipment/Material Procurement/Fabrication/Delivery Schedule for on-time completion.
• Appraisal for works/products compliance to Specifications/Requirements and selection recommendation.
• Responsible for M&E drawing coordination and production of CSD and individual service drawings quality.
• Responsible for conducting QA/QC inspection, managing RE, RTO, and responsible for clearing QA/QC inspections to meet with construction schedule.
• Provide and maintain all site inspection records & T&C records up to date.
• Responsible for variation order cost collection, cost verification of the VO works, and making necessary recommendations for VO prices.
• To check, evaluate, and confirm work done and material supply quantity status for the purpose of M&E sub-contractor/NSC vendors' progress payments including instruction on progress substantiation document preparation by sub-contractors and vendors.
• Responsible for site implementation of safety standards to comply with IMS safe work methods.
• Responsible for attendance at daily site coordination meetings and providing detailed coordination with subcontractors.

Chin See Min Reg No. : R22107450
The Supreme HR Advisory Pte Ltd EA No. : 14C7279

• Well Established Company
• Basic $3800 - $4500 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: East
• Working day: Monday to Friday
• Working hours: 8am to 5.30pm

Job Responsibilities:

• To participate in procedures for Supplier Management process such as supplier on-boarding, selection and approval process by assessing and evaluating supplier profile; visiting and auditing of supplier facility and process, initiating supplier quality agreement review, and establishing good partnership with suppliers
• To evaluate and monitor supplier performance and collaboration with suppliers to identify opportunities for enhancements and improvements
• To support new supplier/material qualification by ensuring that all supplier on-boarding related documentations and action are complete, and that quality of purchased material meets the required standards and expectations
• To communicate and work closely with external supplier sand internal stakeholders (Procurement, Warehouse and Manufacturing) on supplier/material qualification related projects, material quality related issues. To address on purchased material failures/defects and derive proper preventive and corrective action plans through SCAR system
• Implement quality inspection standards on incoming and outgoing inspections
• Responsible for timely closure of Corrective and Preventive Actions (CAPA) , non-conformance investigation reports and customer complaints and publish reports on quality performance
• Lead the Material Review Board (MRB) meeting involving members from production, engineering and quality departments to conduct root cause analysis, address quality issues, implement corrective actions and review its effectiveness
• Maintain updated and accurate documents and records on ISO 9001, 14001 and 13485 system (includes Quality Manual, Procedures, Work Instructions, Forms etc) to ensure system compliance and ready for Management Review
• Plan and conduct internal and external audits to ensure readiness of all sections for third party certification body, management review and customer audits
• Review audit findings and develop action plans to drive continuous improvements
• Perform any other duties as assigned

Job Requirements:

• Possess minimum Diploma in Quality Management / Engineering / Manufacturing or related field with minimum 2 years of relevant working experience in handling audits and ISO documentation in manufacturing industries
• Knowledge in Supplier Management
• Knowledge of quality Management Standards such as ISO 9001, 14001, 13485 and ISO 22301
• Knowledge in Potential Failure Mode Effect Analysis (PFMEA), Control Plans .and Gage Repeatability & Reproducibility (GR&R)
• Familiar with 8D and 5W problem solving methodology

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.

LIONG ZHAO GUAN (R22107632)

EA Recruitment Pte Ltd

EA License No: 21C0492

An exciting opportunity for individuals with a background or strong interest in Business or Engineering to build a rewarding career in consultative, solution-based sales. You will receive full training to understand our products and applications and work closely with customers to provide tailored solutions that enhance their operations.

• Learn and apply product knowledge through structured training and on-the-job experience.
• Conduct customer visits to understand technical needs and propose effective solutions.
• Build and maintain strong relationships with clients across various industries.
• Identify new business opportunities and contribute to overall sales growth.
• Prepare and deliver presentations, product demonstrations, and sales reports as needed.

Requirements:

• Degree in Business, Engineering, or a related discipline.
• Strong interest in technology, manufacturing, and sales.
• Excellent communication, presentation, and problem-solving skills.
• Self-motivated, goal-oriented, and eager to learn.
• Possess a valid Class 3 driving licence, as the role involves client visits.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

Join a high-performing engineering team building and operating modern cloud-native platforms.

What You'll Do

• Develop and maintain backend services, automation tools, and platform capabilities using Golang.

• Build, deploy, and support applications on Kubernetes and cloud infrastructure.

• Design and optimize CI/CD pipelines for reliable software delivery.

• Improve platform observability through monitoring, logging, and alerting solutions.

• Collaborate with cross-functional teams to deliver high-quality solutions.

• Participate in operational support, incident management, and service improvement initiatives.

• Contribute to technical documentation, architecture discussions, and engineering best practices.

• Work in an Agile environment with strong emphasis on learning and collaboration.

What We're Looking For

• Strong experience in Golang, cloud-native technologies, and software engineering.

• Familiarity with Kubernetes, containers, CI/CD, and DevOps practices.

• Proficiency in TypeScript is advantageous.

• Enthusiasm for automation, reliability, and continuous improvement.
  

  
  Working Location : Central
  

  Looking for candidates with at least 2 years of working experience
  Experience in Singpass and GCC+ is an advantage
  

  **We regret to inform that only shortlisted candidates will be notified. Personal data collected will be used for recruitment purposes**

We are seeking an expert Senior AI Infrastructure & Networking Engineer to lead the architecture, deployment, and optimization of our next-generation AI Factory. In this role, you will be responsible for building and scaling high-density GPU supercomputing clusters (up to 512+ nodes) featuring NVIDIA Blackwell UltraB300 systems. You will bridge the gap between heavy physical infrastructure (liquid cooling/busbar power) and advanced logical fabrics, ensuring predictable, line-rate, and lossless transport for massive generative AI training and reasoning workloads.

Key Responsibilities

• AI Fabric Architecture & Deployment: Design, build, and optimize high-throughput, ultra-low-latency East-West compute networks using NVIDIA Spectrum-X Ethernet platforms (Spectrum-4 ASICs) and/or NVIDIA Quantum-X800 InfiniBand switching.
• Performance Tuning for Lossless Networking: Configure and fine-tune critical Layer 2/3 lossless transport mechanisms, including Remote Direct Memory Access over Converged Ethernet (RoCE v2), Priority Flow Control (PFC), Explicit Congestion Notification (ECN), and DCQCN.
• Rail-Optimized Topologies: Implement and maintain non-blocking, multi-plane, full fat-tree network topologies mapped to 8-GPU server architectures to maximize collective communication performance via NCCL (NVIDIA Collective Communications Library).
• SmartNIC & DPU Management: Deploy and manage high-speed compute network interfaces, including ConnectX-8 SuperNICs (800 Gb/s) and BlueField-3 DPUs for isolated infrastructure management, storage acceleration, and multi-tenant security.
• Full-Stack Orchestration & Automation: Drive infrastructure-as-code deployments using Ansible and Terraform. Initialize and monitor the NVIDIA Network Operator within core Kubernetes orchestration layers.
• Telemetry & Validation: Utilize deep network telemetry tools such as NVIDIA NetQ and "What Just Happened" (WJH) to stream real-time switch diagnostics. Conduct line-rate cluster benchmarking using ib_write_bw and ib_write_lat to eliminate physical layer bottlenecks.
• Cross-Functional Infrastructure Alignment: Collaborate closely with data center facility teams on high-density environment metrics (~15–20 kW+ per rack, liquid-cooled rows, Coolant Distribution Units (CDUs), and Rear Door Heat Exchangers). Ensure operational verification aligns with international standards (e.g., IDCA G-Grade or Uptime Institute).

Required Technical Skills &Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Network Engineering, Systems Engineering, or a related technical discipline.
• AI Networking Expertise: Proven track record of configuring RoCE v2, adaptive routing, and traffic optimization specifically for machine learning/HPC workloads.
• Hardware Familiarity: Deep understanding of high-density scale-up and scale-out systems (NVIDIA HGX/DGX architectures, PCIe switching, OSFP/QSFP112 optical and copper assemblies).
• Software & Cluster Management: Experience with cluster deployment suites like NVIDIA Mission Control, Base Command Manager, Run:ai, or similar enterprise MLOps frameworks.
• Routing Protocols: Strong proficiency with advanced datacenter networking protocols, particularly eBGP IPv6 unnumbered underlays and EVPN/VXLAN overlays for multi-tenant isolation.
• Cabling & Layer 1 Validation: Experience managing complex structured fiber trunking (MPO-12/MPO-24 APC) and executing layer-1 diagnostics (ibdiagnet, iblinkinfo).

Preferred Certifications

• NVIDIA Certified Professional - AI Networking (NCP-AIN) (Highly Preferred)
• NVIDIA Certified Expert - Cloud End-to-End Fabric (NCE-CEF)
• Advanced networking tracks from major vendors (e.g., CCIE, JNCIE, or Nokia Service Routing Architect) combined with proven data center fabric experience.

What We Offer

• Opportunity to work with first-of-its-kind, world-class AI supercomputing technologies (NVIDIA Blackwell Ultra).
• High-impact role shaping the foundational architecture for enterprise generative AI and large-scale LLM initiatives.
• Competitive salary, comprehensive benefits package, and continuous learning paths for advanced AI operations certifications.

About the Role

We are looking for a technically strong and analytically driven Data Engineer / Analyst to design, build, and maintain end-to-end data and AI/ML solutions.

You will work across the full data lifecycle — from developing ETL pipelines and managing cloud platforms to deploying machine learning models and collaborating with stakeholders to drive meaningful outcomes.

What You Will Do

Data Engineering & AI/ML Development

• Design, build, deploy, and maintain end-to-end data and AI/ML projects across big data and cloud platforms
• Develop scalable and reliable ETL processes for ingesting and integrating large volumes of structured and unstructured data from on-premise and cloud sources
• Build and manage enterprise data systems including data lakes, analytics platforms, and AI platforms

Project & Product Management

• Perform project management and product owner activities for the development, testing, and maintenance of enterprise data systems
• Apply Agile methodology across the full development lifecycle — from requirements gathering and sprint planning through to testing and deployment
• Manage timelines, deliverables, and stakeholder expectations across concurrent workstreams

Stakeholder Collaboration & Innovation

• Collaborate with business users, project teams, government agencies, and industry partners to explore and evaluate new AI/ML and data technologies
• Identify and develop deployable solutions that address operational needs and advance strategic goals
• Stay current with emerging data, AI, and cloud technologies — particularly Generative AI and LLM applications

What We Are Looking For

• Degree in Computer Science, Data Science, Statistics, Economics, or a related discipline with strong quantitative content
• Hands-on experience in data analytics, data engineering, or AI/ML project development

• Proficiency in programming languages such as Python, R, Java, Scala, or SAS for data science and data processing applications
• Strong knowledge of cloud platforms (e.g. AWS, Azure, GCP) and big data technologies
• Demonstrable experience with data/ML techniques — data mining, data engineering, machine learning, natural language processing, or similar
• Experience with Generative AI technologies and LLM models is a strong advantage
• Singaporeans Only

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

• Contact you about potential opportunities.
• Delete personal data as it is not required at this application stage.

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Ho Kah Yeow | R1879233

ScienTec Consulting Pte Ltd |11C5781

Location: Kaki Bukit
Salary: $4,000 – $5,000
Working Hours: Monday to Friday, 8:00 AM – 5:30 PM
Industry: Semiconductor

Key Responsibilities:

• Design and develop precision tooling, jigs, fixtures, and mechanical components
• Prepare detailed 2D and 3D drawings using AutoCAD and SolidWorks
• Work closely with production and engineering teams to ensure design feasibility and manufacturability
• Modify and improve existing designs based on project requirements
• Ensure all designs meet technical specifications and industry standards
• Support prototyping, testing, and troubleshooting activities

Requirements:

• Diploma or Degree in Mechanical Engineering or related field
• Proven experience in precision engineering and/or semiconductor industry
• Proficient in AutoCAD/ SolidWorks
• Strong understanding of tooling design and mechanical components

To apply, please click on “Apply Now” or email your latest resume to dorothy@recruitlync.com / WhatsApp 85017683.

Ooi Shi Hui Dorothy (R1762852)
Recruit Lync Pte Ltd (22C1000)

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

About EPAM

EPAM is a leading global provider of digital platform engineering and development services. EPAM has been expanding in Singapore since 2013 and delivering the best solutions to our customers. As a recognized leader, EPAM Singapore achieved Great Place to Work® Certification in 2023 and is committed to providing our team with inspiring careers.

You will have the opportunity to work with fellow talented technologists and accelerate your career by participating in our numerous upskilling, training, and certification programs. That is why EPAM Singapore was awarded Gold for Best In-House Certification Programmes in the Employee Experience Awards 2023 and Silver in the SkillsFuture Employers Awards 2022 for our efforts in championing employees' skills development and building a lifelong learning culture at the workplace. You can also look forward to developing holistically with the multiracial festivals and various wellness and cultural activities organized by our passionate colleagues here.

Why EPAM?

• By choosing EPAM, you're getting a job at one of the most loved workplaces according to Newsweek 2022 & 2023.
• Employee ideas are the main driver of our business. We have a very supportive environment where your voice matters.
• You will be challenged while working side-by-side with the best talent globally. We work with top-notch technologies, constantly seeking new industry trends and best practices.
• We offer a transparent career path and an individual roadmap to engineer your future & accelerate your journey.
• At EPAM, you can find vast opportunities for self-development: online courses and libraries, mentoring programs, partial grants of certification, and experience exchange with colleagues around the world. You will learn, contribute, and grow with us.

What You’ll Do

• Design, develop and maintain microservices using .NET Core and .NET 8
• Implement event-driven architecture and utilizeEntity Framework for database management
• Containerize applications with Docker and applyDomain-Driven Design principles
• Develop secure authentication and authorizationusing OAuth and security best practices
• Build and optimize RESTful APIs and integrateAWS services including S3, Lambda, API Gateway and DynamoDB
• Develop responsive web applications withReact.js and Next.js
• Write unit tests with Jest and maintain reusableUI components with Storybook
• Collaborate with UX/UI designers andtroubleshoot issues across the stack

What Will Make You Shine

• Experienceas a Full Stack .NET Core Developer or similar role
• Proficiency in .NET Core, .NET 8, C# andfront-end technologies like React.js, Next.js, HTML, CSS and JavaScript
• Experiencewith microservices, event-driven design and Entity Framework
• Familiaritywith Docker, DDD and AWS services
• Experienceimplementing OAuth and security best practices
• Hands-onexperience with unit testing using Jest and design systems like Storybook
• Strongproblem-solving, communication and collaboration skills

How We Hire

Here, we summarize the typical journey to finding a job within EPAM:

• Apply and tell us about yourself
• Go through some standard interviews:

1. General interview with a recruiter
2. Technical interview with our technology experts
3. Manager interview or Offer interview with a hiring manager

• Get ready to join the team

Not sure if you meet all the requirements? No problem. Let’s talk anyway and find out more.

It takes 1 min of application to start the journey with us. Apply now!

Territory: ASEAN/ Middle East
Salary: Up to $5.5K + AWS + VB

Job Scope:

• Distributor management and support: Supporting sales activities of distributors/dealers. Building relationships with distributors, maintaining and expanding accounts. Sharing sales strategies and sales plans and encouraging their implementation. Managing sales progress and performance evaluation for distributors. Managing credit control of distributors. Visiting distributors in various countries as necessary
• Market development and sales promotion: Discovering markets by country and expanding sales opportunities. Creating deals and supporting sales through distributors. Adjusting sell-in/sell-out conditions
• Marketing and product launch: Supporting new product launches. Educating and sharing sales plans for distributors. Joint management of exhibitions/events. Providing 4Ps materials, thus enabling effective product, marketing information and solutions from distributors to end user
• Business operations: Analyzing of distributor sales data. Creating data necessary for budget formulation, drafting monthly reports (including distributor progress)
• Negotiating sales terms with distributors: Providing technical and sales instructions to distributors. Applying for demo units and marketing budgets. Proposing improvements to distributor strategies
• Channels Performance (Activity volume, sales results)

Job Requirements:

• Min. Degree in any relevant science field
• Min. 2-3 years relevant distribution management experience in product sales preferably in healthcare engineering field
• Preferably with regional experience

If interested, please send updated resume via email  melissa@recruitexpress.com.sg 

Melissa Zhang Zhiqi (Mezzo)

(CEI.No: R2197564 | Recruit Express Pte Ltd (Healthcare & Life Science) | 99C4599)

melissa@recruitexpress.com.sg

About STMicroelectronics

At ST, we are 48,000 creators and makers of semiconductor technologies mastering the semiconductor supply chain with state-of-the-art manufacturing facilities. An integrated device manufacturer, we work with more than 200,000 customers and thousands of partners to design and build products,solutions, and ecosystems that address their challenges and opportunities, and the need to support a more sustainable world. Our technologies enable smarter mobility, more efficient power and energy management, and the wide-scale deployment of cloud-connected autonomous things. We are on track to be carbon neutral in all direct and indirect emissions (scopes 1 and 2), product transportation, business travel, and employee commuting emissions (our scope 3focus), and to achieve our 100% renewable electricity sourcing goal by the end of 2027.

Further information can be found at www.st.com

Key Responsibilities

1. Equipment Ownership & Performance

• Act as equipment owner for a defined set of CMP tools 
• Monitor OEE and uptime, define and drive actions to improve them.
• Analyze equipment alarms, and chronic issues; implement robust corrective and preventive actions.

2. Maintenance & Troubleshooting

• Define and optimize PM (Preventive Maintenance) plans and spare parts strategy.
• Support technicians in complex troubleshooting: mechanical, electrical, pneumatic, vacuum, robotics and software.
• Escalate and coordinate with equipment vendors (remote and on-site) for advanced technical support.

3. New Equipment Introduction & Upgrades

• Participate in specification, selection, installation and qualification of new CMP tools.
• Lead or support process and equipment release to production, including capability and stability checks.
• Manage equipment upgrades, retrofits, and obsolescence mitigation projects.

4. Process & Quality Support

• Work with process engineers to ensure that equipment performance meets process requirements 
• Support yield, quality, and reliability investigations from an equipment perspective
• Ensure equipment operation complies with quality systems (e.g. IATF 16949, ISO 9001, automotive standards where applicable).

5. Continuous Improvement & Industrial Efficiency

• Analyze data and KPIs; identify bottlenecks and chronic losses.
• Lead or participate in Lean/Six sigma/SMED activities for cycle time, cost, energy, and throughput improvements.
• Drive standardization of settings, PM procedures, troubleshooting guides, and documentation.

6. Safety, Environment & Compliance

• Ensure strict adherence to EHS rules (chemicals, slurry, gases, high voltage, vacuum, cleanroom, LOTO).
• Participate in risk assessments, FMEA, and implementation of safety interlocks and procedures.
• Maintain compliance with environmental and regulatory requirements (e.g. waste handling, emissions).

7. Documentation, Training & Knowledge Management

• Create and maintain equipment documentation: procedures, checklists, work instructions, recovery plans.
• Train and coach maintenance technicians on equipment usage and basic troubleshooting.
• Contribute to knowledge base and share best practices across shifts and sites.

Job Requirements:

• A Bachelor’s Degree in Mechanical, Mechatronics, Electrical & Electronics Engineering, Materials Science Engineering, Chemical Engineering or equivalent.
• Min 5 years of relevant work experience in CMP area, familiar with CMP Equipment (AMAT MirraMesa, Ebara F-REX200, Ontrak, etc.).
• Strong troubleshooting skills and deep technical knowledge.
• Knowledge of SPC, FMEA, 8D methodologies.
• Excellent communication, cross-functional collaboration abilities and written skills.
• Positive learning attitude with strong sense of responsibility.
• Strong ownership, a commitment and flexibility to support operational priorities
• Able to adapt in a fast paced environment and work under pressure.

about company

I am currently working with a software consultancy firm that provides premium software development and strategy expertise to a wide spectrum of clients. Projects related to Gaming/Gambling/Blockchain.

Base + AWS + variable bonus. Hybrid working, Friday WFH. Office at CBD.

about job (1 opening for Cloud Security Engineer, 1 opening for Lead level)

• Protects system by defining access privileges, control structures, and resources.

• Safeguards information system assets by identifying and solving potential and actual security problems.

• Recognizes problems by identifying abnormalities; reporting violations.

• Determines security violations and inefficiencies by conducting periodic audits.

• Consolidate root cause analysis of past pentest results.

• Upgrades system by implementing and maintaining security controls.

skills and requirements

• Min 3 years experience in AWS Cloud Security, Security Hub, Guard Duty, Inspector, etc.

• Strong understanding of SSDLC and security frameworks.

• Knowledge in OWASP Security Standards.

• In-depth knowledge of architecture, engineering, and operations of at least one enterprise IDS/IPS/SIEM platform.

• Hands on experience with vulnerability scanning and pentesting tools.

• Hands-on experience analyzing high volumes of logs, network data (e.g. Netflow, FPC), and other attack artifacts in support of incident investigations.

• Experience with IAM architectures and solutions including AD, RBAC, SSO, identity lifecycle management

• Mandarin speaking required as you need to liaise with Chinese counterparts who can only speak and write in Mandarin

To apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)

Software Engineer (Web Front-End) (React with TypeScript, NodeJS + Cloud Service Providers - AWS, Azure, or GCP)

As a Senior Software Engineer, you will be working on:

• Partner with software engineers and other functions to understand objectives for development delivery efficiency and system resiliency, helping them articulate how specific technical capabilities and best practices will achieve key business outcomes.

• Conduct comprehensive assessments of client's existing technical landscapes, workflows, and processes to identify inefficiencies, pain points, and gaps that hinder their goals.

• Collaborate with client to identify the most relevant practices (e.g., CI/CD, SRE) for using Core Engineering Products in achieving their goals, considering unique needs and industry best practices.

• Develop transition roadmaps that outline a clear path from the current state to the desired future state, including the adoption of recommended tools and processes.

• Explain complex concepts clearly to various client stakeholders, providing actionable recommendations for improving workflows and addressing their challenges, and providing supporting diagrams as needed.

• Support client with proof of concept (POC) initiatives to validate solutions, offering hands-on assistance during early implementation phases to enable smooth transitions to full-scale rollouts.

• Collaborate closely with fellow Software Engineers to exchange insights, share tools and scripts, and foster a collaborative environment that supports continuous improvement and knowledge sharing.

Qualifications

What we are looking for:

• 6+ years in an individual contributor software engineering role.

• Experience with NodeJs with TypeScript.

• Experience with one or more of Cloud Service Providers such as AWS, Azure, or GCP.

• Experience building cron jobs and scripts to run batch jobs.

• Experience with streaming data.

• Strong track record of successful large-scale partner solution implementations, preferably in complex enterprise environments

• Exceptional communication skills with ability to bridge technical discussions between internal teams and external partners

• Experience working in highly secured and air gap systems is a plus (i.e. banking, government systems and similar)"

We are seeking an expert Senior AI Infrastructure & Networking Engineer to lead the architecture, deployment, and optimization of our next-generation AI Factory. In this role, you will be responsible for building and scaling high-density GPU supercomputing clusters (up to 512+ nodes) featuring NVIDIA Blackwell UltraB300 systems. You will bridge the gap between heavy physical infrastructure (liquid cooling/busbar power) and advanced logical fabrics, ensuring predictable, line-rate, and lossless transport for massive generative AI training and reasoning workloads.

Key Responsibilities

• AI Fabric Architecture & Deployment: Design, build, and optimize high-throughput, ultra-low-latency East-West compute networks using NVIDIA Spectrum-X Ethernet platforms (Spectrum-4 ASICs) and/or NVIDIA Quantum-X800 InfiniBand switching.
• Performance Tuning for Lossless Networking: Configure and fine-tune critical Layer 2/3 lossless transport mechanisms, including Remote Direct Memory Access over Converged Ethernet (RoCE v2), Priority Flow Control (PFC), Explicit Congestion Notification (ECN), and DCQCN.
• Rail-Optimized Topologies: Implement and maintain non-blocking, multi-plane, full fat-tree network topologies mapped to 8-GPU server architectures to maximize collective communication performance via NCCL (NVIDIA Collective Communications Library).
• SmartNIC & DPU Management: Deploy and manage high-speed compute network interfaces, including ConnectX-8 SuperNICs (800 Gb/s) and BlueField-3 DPUs for isolated infrastructure management, storage acceleration, and multi-tenant security.
• Full-Stack Orchestration & Automation: Drive infrastructure-as-code deployments using Ansible and Terraform. Initialize and monitor the NVIDIA Network Operator within core Kubernetes orchestration layers.
• Telemetry & Validation: Utilize deep network telemetry tools such as NVIDIA NetQ and "What Just Happened" (WJH) to stream real-time switch diagnostics. Conduct line-rate cluster benchmarking using ib_write_bw and ib_write_lat to eliminate physical layer bottlenecks.
• Cross-Functional Infrastructure Alignment: Collaborate closely with data center facility teams on high-density environment metrics (~15–20 kW+ per rack, liquid-cooled rows, Coolant Distribution Units (CDUs), and Rear Door Heat Exchangers). Ensure operational verification aligns with international standards (e.g., IDCA G-Grade or Uptime Institute).

Required Technical Skills &Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Network Engineering, Systems Engineering, or a related technical discipline.
• AI Networking Expertise: Proven track record of configuring RoCE v2, adaptive routing, and traffic optimization specifically for machine learning/HPC workloads.
• Hardware Familiarity: Deep understanding of high-density scale-up and scale-out systems (NVIDIA HGX/DGX architectures, PCIe switching, OSFP/QSFP112 optical and copper assemblies).
• Software & Cluster Management: Experience with cluster deployment suites like NVIDIA Mission Control, Base Command Manager, Run:ai, or similar enterprise MLOps frameworks.
• Routing Protocols: Strong proficiency with advanced datacenter networking protocols, particularly eBGP IPv6 unnumbered underlays and EVPN/VXLAN overlays for multi-tenant isolation.
• Cabling & Layer 1 Validation: Experience managing complex structured fiber trunking (MPO-12/MPO-24 APC) and executing layer-1 diagnostics (ibdiagnet, iblinkinfo).

Preferred Certifications

• NVIDIA Certified Professional - AI Networking (NCP-AIN) (Highly Preferred)
• NVIDIA Certified Expert - Cloud End-to-End Fabric (NCE-CEF)
• Advanced networking tracks from major vendors (e.g., CCIE, JNCIE, or Nokia Service Routing Architect) combined with proven data center fabric experience.

What We Offer

• Opportunity to work with first-of-its-kind, world-class AI supercomputing technologies (NVIDIA Blackwell Ultra).
• High-impact role shaping the foundational architecture for enterprise generative AI and large-scale LLM initiatives.
• Competitive salary, comprehensive benefits package, and continuous learning paths for advanced AI operations certifications.

Responsibilities:

• Provide 1st and 2nd level IT support including desktop related technical assistance via telephone, ticket system, emails and instant chat messaging tool, etc.
• Troubleshooting and resolving single customer issues with Windows
• Supporting Microsoft Office, Exchange, VPN, SharePoint, and User Client Hardware, Mobile devices, user accounts and permissions.
• Using remote administration tools to resolve issues on desktops, laptops, and printers.
• Update policies, procedure, and documentation relevant to project or operation
• Ensure compliance with standards, policies, and processes
• Ensure all Asset and Inventory up to date and accurate in system
• Follow KPI defined by company and team leader

Job requirements:

• A Minimum of 3 years of desk side work experience in large enterprise companies
• A minimum Diploma in computer science or equivalent experience in IT
• Strong knowledge in User & VIP Support and ITIL methodology
• Familiar with Mac and Window OS system
• Able to work under pressure, self-motivated, strong problem solving and analytical skills
• Strong data analytic, communication & interpersonal skills
• MCP and/or Apple Technician (MacOS) certified is advantageous

Interested candidate please click "APPLY" to begin your job search journey.

We regret to inform that only shortlistedcandidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Tech Services Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persoloutsourcing.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOL Tech Services Pte Ltd
UEN No. 202233837K

• Well Established Company
• Basic $3700 - $5000 + Allowance + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: East / On-site
• Working hours : Normal working hours

Job Responsibilities:

Technical Service & Maintenance:

• Perform periodic servicing, maintenance, and troubleshooting of CRAC/WDS systems.
• Diagnose hardware/software faults, identify root causes, and recommend solutions.
• Conduct equipment power-up/down procedures and respond promptly to e-calls (emergency calls).

Client Support & Training:

• Provide technical support and onsite training on Operation & Maintenance Manuals (OMM).
• Maintain strong client relationships, particularly with site engineers.
• Liaise with customer engineering departments to ensure compliance with company procedures and quality guidelines.

Documentation & Reporting:

• Complete detailed service reports after each servicing/e-call.
• Submit weekly/monthly reports on work activities, progress, and remedial actions.
• Maintain accurate filing, documentation, and tracking of all service records.

Site & Contractor Management:

• Monitor and manage contractor activities to ensure adherence to safety/operational procedures.
• Review site "Events and Actions," implementing corrective measures as needed.
• Plan, execute, and update daily work schedules.

Safety & Compliance:

• Strictly follow data center safety rules, regulations, and quality standards.
• Ensure all work activities comply with occupational safety guidelines.
• Support ad-hoc tasks assigned by superiors

Job Requirements:

• Minimum Diploma/Degree in Mechanical Engineering or equivalent with minimum 1-2 years of relevant experience

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.

LIONG ZHAO GUAN (R22107632)

EA Recruitment Pte Ltd

EA License No: 21C0492

• Well Established Company
• Basic $4000 - $5000 + Allowance + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: West / On-site
• Working Days: Monday to Friday
• Working hours: 8.30am to 5.30pm

Job Responsibilities:

• Planning / Assign sub-contractors and manpower for the maintenance work and from project handover
• Supervising & Managing of Sub-contractor to carry maintenance & servicing works
• Plan and schedule Preventive Maintenance
• Perform routine check, system back-ups & restoration, troubleshooting and upgrading / improvement of system to ensure optimal functioning of BMS/DCS/PLC/SCADA System
• Record servicing & maintenance data and generate service report
• Provide Technical / Operational guidance, engineering solution to the Maintenance Site Facility Management
• Others ad hoc duties as assigned

Job Requirements:

• Minimum Diploma in Mechanical Engineering or equivalent with 1-3 years of experience
• Knowledge on BMS / PLC / HVAC will be a plus point

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.

LIONG ZHAO GUAN (R22107632)

EA Recruitment Pte Ltd

EA License No: 21C0492

• Well Established Company

• Basic $3800 - $4200 + AWS + Variable Bonus

• Excellent Welfare and Benefits + Career progression

• Working location: Tuas (Company Transport Provided)

• Working hours: Normal Working Hours

  
  

Job Responsibilities:

• To ensure all the maintenance work is carried out systematically, efficiently & safely.

• By improving existing preventive maintenance system thus reduce maintenance cost and improve performance of equipment.

• To create, update and maintain all SOPs and all ISO documents & MOM equipment registration.

• To be the initiator and coordinator of MOC for any addition, modification and replacement in the system.

• To assist the Department Manager and Supervisor to co-ordinate and supervise the day-to-day activities.

• To troubleshoot Mechanical Equipment / Systems’ problems when it runs abnormally malfunction.

• To work closely with the operations team for daily, weekly and monthly maintenance programmed to maintain all equipment running efficiently, safely and smoothly.

• To train all technicians and staff on equipment maintenance and monitor the 5S and TPM activities carried out in the section.

• To assist the Department Manager to propose and implement action plans to rectify faults occurring in the system/processes.

• To be involved in new project management from time to time and be responsible for document preparation and other paper works, as well as co-ordination with contractors & Vendors.

• To manage all Mechanical & electrical Instruments spare parts and tools.

• To monitor the implementation of all EHS matters within the section.

• To be responsible for document management.
  

Job Requirements:

• Minimum Bachelor's Degree in Mechanical Engineering, Chemical Engineering, and/or equivalent.

• At least 2 years of experience working in mechanical, preferably within large-scale industrial (palm oil mill, flour and sugar process manufacturing, steel industry, mining and clay industry or waste management facilities.

• Strong knowledge of mechanical systems design, installation, and maintenance, particularly in industrial settings.

• Proficient in CAD software, CMMS software, and other engineering design tools.
  

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.

LIONG ZHAO GUAN (R22107632)

EA Recruitment Pte Ltd

EA License No: 21C0492

• Well Established Security Inspection Solutions Company

• Salary: $2500 - $2800 (Basic) + $300 Transport Allowance

• Working Hour: Monday - Friday (8.30am – 5.30pm)

• Company Location: Jurong East (Based on Project Site)

• Variable bonus + Excellent Wellfare

• Training Provided

Job Scope:

• Assist Engineers in the maintenance, repair, and installation of equipment. Diagnose errors and technical issues and determine appropriate solutions.
• Support Engineers in project management, including planning, execution, and monitoring.
• Assist with the installation of new equipment and systems.
• Conduct routine troubleshooting of mechanical and electrical equipment to ensure smooth operations.
• Produce timely and detailed reports regarding maintenance activities, project status, and any issues or delays.
• Follow all company field processes and protocols to ensure safety and efficiency.
• Perform basic housekeeping duties to ensure a clean and safe work environment.
• Perform any other engineering-related tasks as assigned by senior engineers or management.

Requirement:

• NITEC / Diploma in Electrical / Mechanical Engineering or equivalent
• 0 - 2 years of relevant working experience in similar position

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.

YEOW CHANG FU (R23118759)

EA Recruitment Pte Ltd

EA License No: 21C0492

Position Summary:

We are seeking a highly skilled and motivated Senior Data Engineer to join our team and play a crucial role in building and maintaining our common unified framework, data pipelines, data models, data products, and data engineering tooling.

Position Responsibilities:

• Design, develop, and maintain a common unified data framework that enables seamless integration of data from various sources and systems.

• Create and optimize data pipelines for ingesting, processing, transforming, and storing large volumes of structured and unstructured data.

• Work closely with data scientists and analysts to understand their data requirements and translate them into robust data models.

• Develop and maintain data engineering tooling to improve data ingestion, data quality, data monitoring, and data governance processes.

• Troubleshoot and resolve data pipeline and data-related issues to ensure uninterrupted data flow.

• Monitor data pipeline performance, identify bottlenecks, and optimize data processing and storage for efficiency.

• Evaluate and integrate third-party data tools and technologies to enhance the data engineering capabilities of the organization.

• Experience applying AI or intelligent techniques to improve data quality, monitoring, or development workflows.

Listed responsibilities are an essential, but not exhaustive list, of the usual duties associated with the position. Changes to individual responsibilities may occur due to business needs.

Position Requirements:

• Proficiency in any object oriented or/and functional programming languages such as Python, Scala, or Java for data processing and data manipulation.

• Solid understanding of data quality, data governance, security, and lineage concepts.

• Strong ability to troubleshoot data-related issues effectively.

• Excellent communication and collaboration skills to work effectively with cross-functional teams.

• Demonstrated passion for data engineering, automation, and continuous learning

All listed requirements are deemed as essential functions to this position; however, business conditions may require reasonable accommodations for additional task and responsibilities.

Preferred Experience/Education/Skills:

• Bachelor's or master's degree in computer science, Engineering, or a related field.

• At least 6 years of experience working as a Data Engineer with a proven track record in designing and building production grade data pipelines and data models.

• Experience applying AI or intelligent techniques to improve data quality, monitoring, or development workflows.

• Knowledge of C# web development using Microsoft .NET would be advantageous.

Position Summary:                    

This role partners closely with stakeholders to recommend and implement integrated technology solutions that align with business needs. Acting as a bridge between stakeholders and technical teams. Working at the intersection of AI, Data Engineering, and Operations, the team identifies opportunities, translates business requirements into actionable solutions, and drives measurable impact across Manufacturing and its supporting functions.

Position Responsibilities:

• Assess stakeholder needs and business objectives to identify the most suitable digital tools and technology solutions.

• Present clear, data-driven justifications for selected solutions, highlighting benefits such as scalability, integration capability, user experience, and ROI.

• Facilitate stakeholder discussions and workshops to gather input and ensure consensus on solution adoption.

• Develop and maintain process documentation, workflows, and solution blueprints to ensure clarity and continuity across teams.

• Experience applying AI or intelligent techniques to improve data quality, monitoring, or development workflows.

Position Requirements:

• Excellent communication and facilitation skills to lead workshops, training, and stakeholder engagement effectively.

• Strong documentation skills to develop clear process flows, project plans, and solution blueprints ensuring transparency and continuity.

• In-depth knowledge of manufacturing systems, including MES, LIMS, and SAP, to align digital solutions with operational workflows.

Preferred Experience/Education/Skills:

• Bachelor’s or master’s degree in computer science or related discipline.

• Over 5 years of experience participating in end-to-end Software Development Life Cycle (SDLC) projects

• Successfully led more than 1 projects from initiation to completion.

• Familiarity with project management tools such as Jira for tracking, planning, and coordinating project activities.

• Strong ability to analyze business and operational processes to design scalable, data-driven solutions that align with organizational goals.

• Proven ability to diagnose and resolve complex technical and process-related issues.

• Experience on software development and scripting skills with languages and frameworks such as C#, Angular, and NestJS is a must.

• Experience with both relational (e.g., SQL Server) and non-relational databases, alongside data warehousing technologies like Snowflake, to manage and model enterprise data effectively is a must

Location: Woodlands

Working hours: Mon to Fri, 830am to 530pm

The Job:

• Establish standard operating procedures for product engineering and manufacturing processes on the testing floor
• Conduct Failure Mode and Effects Analysis (FMEA) to identify and mitigate potential process failures
• Review and analyze test yield data to identify issues and implement yield improvement actions
• Determine disposition for hold lots based on yield and quality analysis
• Perform device and hardware tester qualification, correlation, and generate associated reports
• Develop and execute Design of Experiments (DOE) to optimize testing and manufacturing processes
• Resolve technical issues related to device testing to support manufacturing operations effectively
• Liaise with customers to understand and implement new production specifications during New Product Introduction (NPI)
• Coordinate device startup and transfer activities to ensure smooth production transitions

The Talent:

• Degree in Electrical & Electronics Engineering with min 1 year of relevant working experience.
• Fresh graduates are welcome.
• Strong team player with good communication skills.
• High level of ambition and a strong desire to learn.
• Singaporeans only.

Next Step:

• Interested applicants, please send your resume to yingchong.koh@adecco.com with your current and expected salary.
• All shortlisted candidates will be contacted.

Koh Ying Chong

EA License No: 91C2918

Personnel Registration Number: R23116418

Key Responsibilities:

• Responsible for the performance, power consumption, and reliability testing and analysis of NAND memory products, and formulating test specifications and verification processes.
• Develop and maintain test equipment (ATE), including the definition and implementation of test modes such as BIST, DFT, and DFM, continuously improving test coverage and optimizing test time.
• Locate the causes of product failures after delivery and at the wafer stage through electrical failure analysis, design circuit analysis, physical failure analysis, and data analysis.
• Collaborate with the product design team and process team to identify the root causes of failures and drive the implementation of solutions.
• Support the testing and debugging of products in system-level applications (such as SSD, UFS, eMCP) to ensure efficient use by customers and the system side.
• Complete user manual verification, product test function verification, and participate in other test-related tasks assigned by the supervisor.

Required Qualifications:

1. Education and major: Master's degree or above in microelectronics, integrated circuits, electronic engineering, computer science, automation, physics, materials science, or other related STEM fields.

2. Experience requirements:

• Familiar with semiconductor product principles and testing mechanisms; background in memory (NOR/NAND Flash, SRAM, DRAM, phase-change memory, ferroelectric, etc.) testing or design verification is a plus.
• Experience in testing 3D-NAND, TLC/QLC, or flash memory products is a plus.
• Experience with successfully tape-out and mass-produced memory chip projects is a plus.

3. Technical skills:

• Proficient in C/C++, Python, Perl, etc., and familiar with UNIX/Linux environments.
• Experience in ATE (Automatic Test Equipment) development (e.g., T5830, T5833, Magnum V93K, etc.).
• Familiar with the functions, performance, and reliability indicators of memory products.
• Familiar with design-for-test (CFT), DFM, and other design-for-test (CFT) methodologies.

4. Other skills:

• Strong logical analysis, learning, and problem-solving abilities.
• Good communication, organizational, and teamwork skills.
• Proactive, steady, meticulous, responsible, and able to work under pressure.

We are a fast growing electronic components and semiconductor distribution company, headquartered in Singapore with customers in Indonesia, Thailand, Singapore, China and India. We are a distributor for over 40 large MNCs and play a vital role in the supply chain of electronics manufacturers all over Asia.

We are looking for below candidates with prior experience in electronic components/semiconductors industries who want to join a fast-paced environment with lots of opportunity for growth and learning.

Field Application Engineer – Singapore

Job Profile

• Provide Technical design and support to customers to enable sale of our products
• Strategize customer engagements with sales and marketing team
• Demonstrate demo's, interface with supplier engineering team and visit customers to help them troubleshoot problems
• Develop excellence in certain product areas in order to act as product expert for customers

Job Requirements

• Candidate must possess at least a Bachelor's Degree, Engineering (Electrical/Electronic) or equivalent.
• At least 3 year(s) of working experience in the related field is required for this position.

We are seeking an expert Senior AI Infrastructure & Networking Engineer to lead the architecture, deployment, and optimization of our next-generation AI Factory. In this role, you will be responsible for building and scaling high-density GPU supercomputing clusters (up to 512+ nodes) featuring NVIDIA Blackwell UltraB300 systems. You will bridge the gap between heavy physical infrastructure (liquid cooling/busbar power) and advanced logical fabrics, ensuring predictable, line-rate, and lossless transport for massive generative AI training and reasoning workloads.

Key Responsibilities

• AI Fabric Architecture & Deployment: Design, build, and optimize high-throughput, ultra-low-latency East-West compute networks using NVIDIA Spectrum-X Ethernet platforms (Spectrum-4 ASICs) and/or NVIDIA Quantum-X800 InfiniBand switching.
• Performance Tuning for Lossless Networking: Configure and fine-tune critical Layer 2/3 lossless transport mechanisms, including Remote Direct Memory Access over Converged Ethernet (RoCE v2), Priority Flow Control (PFC), Explicit Congestion Notification (ECN), and DCQCN.
• Rail-Optimized Topologies: Implement and maintain non-blocking, multi-plane, full fat-tree network topologies mapped to 8-GPU server architectures to maximize collective communication performance via NCCL (NVIDIA Collective Communications Library).
• SmartNIC & DPU Management: Deploy and manage high-speed compute network interfaces, including ConnectX-8 SuperNICs (800 Gb/s) and BlueField-3 DPUs for isolated infrastructure management, storage acceleration, and multi-tenant security.
• Full-Stack Orchestration & Automation: Drive infrastructure-as-code deployments using Ansible and Terraform. Initialize and monitor the NVIDIA Network Operator within core Kubernetes orchestration layers.
• Telemetry & Validation: Utilize deep network telemetry tools such as NVIDIA NetQ and "What Just Happened" (WJH) to stream real-time switch diagnostics. Conduct line-rate cluster benchmarking using ib_write_bw and ib_write_lat to eliminate physical layer bottlenecks.
• Cross-Functional Infrastructure Alignment: Collaborate closely with data center facility teams on high-density environment metrics (~15–20 kW+ per rack, liquid-cooled rows, Coolant Distribution Units (CDUs), and Rear Door Heat Exchangers). Ensure operational verification aligns with international standards (e.g., IDCA G-Grade or Uptime Institute).

Required Technical Skills &Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Network Engineering, Systems Engineering, or a related technical discipline.
• AI Networking Expertise: Proven track record of configuring RoCE v2, adaptive routing, and traffic optimization specifically for machine learning/HPC workloads.
• Hardware Familiarity: Deep understanding of high-density scale-up and scale-out systems (NVIDIA HGX/DGX architectures, PCIe switching, OSFP/QSFP112 optical and copper assemblies).
• Software & Cluster Management: Experience with cluster deployment suites like NVIDIA Mission Control, Base Command Manager, Run:ai, or similar enterprise MLOps frameworks.
• Routing Protocols: Strong proficiency with advanced datacenter networking protocols, particularly eBGP IPv6 unnumbered underlays and EVPN/VXLAN overlays for multi-tenant isolation.
• Cabling & Layer 1 Validation: Experience managing complex structured fiber trunking (MPO-12/MPO-24 APC) and executing layer-1 diagnostics (ibdiagnet, iblinkinfo).

Preferred Certifications

• NVIDIA Certified Professional - AI Networking (NCP-AIN) (Highly Preferred)
• NVIDIA Certified Expert - Cloud End-to-End Fabric (NCE-CEF)
• Advanced networking tracks from major vendors (e.g., CCIE, JNCIE, or Nokia Service Routing Architect) combined with proven data center fabric experience.

What We Offer

• Opportunity to work with first-of-its-kind, world-class AI supercomputing technologies (NVIDIA Blackwell Ultra).
• High-impact role shaping the foundational architecture for enterprise generative AI and large-scale LLM initiatives.
• Competitive salary, comprehensive benefits package, and continuous learning paths for advanced AI operations certifications.