Total 13,241 job vacancies in Singapore

• 1 year contract (renewable/ convertible)

• Working Location: Boon Lay

• Working Hours: Mon-Fri (7.30am - 5.15pm) + Cover shift if required

• Salary range: $4000 + Completion Bonus

Job Responsibilities:

• Plan and coordinate manpower, materials and equipment to execute projects

• Oversee day-to-day production activities, ensuring schedules are met and identifying bottlenecks or inefficiencies

• Collaborate with Quality and Engineering teams on root cause analysis and corrective actions for production non-conformities

• Handle product acceptance with customers

• Develop and maintain documentation including risk assessment, production records and forms

• Train operators and production staff on processes, equipment usage and maintenance

• Perform other ad-hoc duties as assigned

Job Requirements:

• Degree/Diploma in Mechanical/Mechatronic/Industrial Engineering

• Minimum 2 years relevant experience in manufacturing/production industry

• Basic ability to read and interpret technical drawings

• Basic proficiency in CAD software such as SolidWorks

If you are interested, please submit your application here. We appreciate your application and will notify you if you are shortlisted for the role.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Outsourcing Singapore 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.

EA License No: 90C3494 | EA Personnel No: R21103663 | EA Personnel Name: Azhar Anuwar

• 1 year contract (renewable/ convertible)

• Working Location: Rifle Range (nearest MRT - King Albert Park

• Working Hours: Mon-Fri (7.30am - 5.15pm) + Cover shift if required

• Salary range: $4000 + Completion Bonus

Job Responsibilities:

• Plan and coordinate manpower, materials and equipment to execute projects

• Oversee day-to-day production activities, ensuring schedules are met and identifying bottlenecks or inefficiencies

• Collaborate with Quality and Engineering teams on root cause analysis and corrective actions for production non-conformities

• Handle product acceptance with customers

• Develop and maintain documentation including risk assessment, production records and forms

• Train operators and production staff on processes, equipment usage and maintenance

• Perform other ad-hoc duties as assigned

Job Requirements:

• Degree/Diploma in Mechanical/Mechatronic/Industrial Engineering

• Minimum 2 years relevant experience in manufacturing/production industry

• Basic ability to read and interpret technical drawings

• Basic proficiency in CAD software such as SolidWorks

If you are interested, please submit your application here. We appreciate your application and will notify you if you are shortlisted for the role.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Outsourcing Singapore 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.

EA License No: 90C3494 | EA Personnel No: R21103663 | EA Personnel Name: Azhar Anuwar

Job Description

• Industry/ Organization Type: Cooling Solutions Provider
• Position Title: Service Engineer
• Working Location: Kaki Bukit
• Working Hours: 5.5 Days, Monday – Friday (9am – 6pm), Saturday (9am – 1pm)
• Salary Package: Basic Salary + Performance Bonus
• Duration: Permanent

Key Responsibilities

• Perform periodic servicing, preventive maintenance, and troubleshooting of CRAC/ WDS and related systems.
• Diagnose hardware and software faults, identify root causes, and implement effective solutions.
• Execute equipment power-up/ down procedures and respond promptly to emergency service calls (e-calls).
• Provide technical support and onsite training to clients on Operation & Maintenance Manuals (OMM).
• Build and maintain strong client relationships, working closely with site engineers and customer engineering teams.
• Prepare detailed service reports and submit regular (weekly/ monthly) updates on activities, progress, and corrective actions.
• Monitor contractor activities, ensuring compliance with safety, operational procedures, and quality standards.
• Ensure adherence to data center safety regulations and support ad-hoc tasks assigned by management.

APPLY NOW!!!

• Minimum ITE/ Diploma in Mechanical or Electrical Engineering (or equivalent).
• With hands-on experience in maintenance and troubleshooting electrical and mechanical systems, preferably dealing with ACMV/ DX systems.
• Possess practical knowledge of CRAC/ WDS or critical infrastructure is an added advantage.
• Good problem-solving, analytical, and communication skills (both written and verbal).
• Willing to commit for standby duties, and ability to perform manual work in data center environments.
• Candidates without experience are welcome to apply, training will be provided.

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 #83561 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

Product area

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.

Job description

As a Generative AI (GenAI) Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within partners for our customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke and scalable agentic solutions directly with our partners, for and within the customer’s environment. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with strategic partners, you will serve a dual purpose: providing white glove deployment of complex AI systems and acting as a critical connector and feedback loop for the partner to Google, transforming real-world field and partner insights into Google Cloud’s future product roadmap. You will serve as the agent engineer bridging the gap between AI prototypes and production-grade reality for our strategic AI partners and their own FDE teams.

Qualifications

Job responsibilities

• Serve as a team lead and developer within the strategic AI partner for complex AI applications, working with the partner’s own teams to transition from rapid prototypes to production-grade, replicable agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable return on investment (ROI).
• Build high-performance evaluation pipelines and observability frameworks to ensure partner developed agentic systems meet rigorous requirements for accuracy, safety, and latency.
• Identify repeatable partner and field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
• Co-build with a strategic AI partner’s forward deployed engineering teams to instill Google-grade development best practices.
• Help partners to build their own agentic delivery capabilities to set them up for long term success, focusing on the ROI at customer engagements ensuring customer activation.

Minimum qualifications

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 8 years of experience with software development using Python or similar coding languages.
• Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform).
• Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
• Experience taking production-grade AI-driven solutions from conception to launch for customers.
• Experience leading technical discovery sessions with customers.

Preferred qualifications

• Master’s degree or PhD in AI, Computer Science, or a related technical field.
• Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
• Knowledge of Large Language Model native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

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

Job Responsibilities

Production Conditions and Standardization:

• Develop and uphold technical standards, work standards, Failure Modes and Effects Analysis (FMEA), and control plans.
• Manage tasks related to establishing and standardizing production conditions for FCBGA manufacturing.

Product Yield and Quality Stability:

• Oversee tasks aimed at improving product yield and maintaining quality stability.

Process Optimization:

• Set-up and optimize conditions for Automated Optical Inspection (AOI) processes for new product introduction and continuous improvement in mass production.

Yield Improvement:

• Conduct activities focused on investigating and implementing measures to improve yield and standardize these improvements.

Productivity Enhancement:

• Engage in activities to enhance productivity through standardization, review of work procedures, and automation of process checks.

Process Equipment Evaluation:

• Set up and evaluate AOI process equipment.

Inspection and Measurement Equipment Evaluation:

• Establish and evaluate equipment used for inspection, measurement, and analysis in the production process.

Process Change Management:

• Handle requests for process changes and manage their implementation.

Roadmap Verification and Implementation:

• Verify and implement roadmaps, including the verification of design rules and integration of new materials.

Customer Technical Meetings:

• Manage and conduct technical meetings with customers to address and resolve technical issues and inquiries

Perform any other ad-hoc duties as assigned by the Manager, as required to support the team and organizational goals.

Job Requirements

Professional Qualifications:

• Degree in Engineering or Science.
• Experience in substrate, PCB and semiconductor processes or production engineering is an advantage.
• Fresh graduates or candidates with 2–3 years of relevant experience are welcome.

Specialized Knowledge & Skills:

• Preferably with PCB manufacturing process background.
• Good knowledge in AOI/Metrology process.
• Experience in managing quality and productivity in production environments (preferred).
• Familiarity with measurement, analysis, and reliability evaluation tools (preferred).
• Basic understanding of substrate manufacturing processes (preferred).
• Good understanding of macro or programming is advantage

Competencies:

• Strong attention to detail and ability to work with precision.
• Excellent listening skills with the capacity to understand and address customer needs.
• Proficient in project management, with the ability to effectively plan and execute projects.

Job description

Work directly with the technical director to develop efficient algorithms for machines

Design, build and test computing systems for speed and performance

Derive computation methods with portable code for integration on complex systems, taking into consideration hardware used

Work with other team members to integrate computing systems onto practical systems with optical and mechanical systems.

Requirements

Degree/Master’s/PhD in computer science or related disciplines with relevant experience in programming, EDA, FPGA, etc.

Ability to code in C. Hardware optimisation for computations is a plus.

Ability to understand equations and solution methods to implement on complex systems

Understand how to apply AI and machine learning algorithms to practical problems

Must be an exceptional team player, willing to go the extra mile for high performing teams.

Must have adaptability to solve difficult problems with like minded team members.

Fresh graduates welcome.

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.

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PERSOL Tech Services Pte Ltd
UEN No. 202233837K

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.

• Working Days: Mon- Fri 9am-6pm, Saturday 9am-1pm
• Location: Defu (Nearest Kovan MRT)
• Salary: $2800 to 3500

Job Scope:

• Read and draw circuit diagrams
• Wiring, soldering, and basic assembly work
• Work with sensors, motors, and solenoid valves
• Support PLC and basic PC programming (e.g. C#)
• Assist in testing, troubleshooting, and project implementation
• Willing to work in a cleanroom environment

Requirements:

• Diploma/Degree in Electrical & Electronics or related field
• Basic knowledge of electronics and automation systems
• Training Provided