Total 3,470 job vacancies in Singapore

Job Description

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

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

Deliveries:

• Neural Network Processor (NPU) architecture, programming Model, simulation, verification, profiling and optimization
• Specification, review and verification of other IP blocks
• FPGA images and IO boards for pre-silicon verification and design exploration
• Boot ROM, bare metal BSPs, sample applications

Responsibilities:

• Support Inference Engine, Toolchain and ASIC teams on NPU
• Constantly improve productivity through automation in all areas

Skills:

• Strong ANSI C bare-metal design, implementation, optimization and debugging using GCC-like toolchains
• Strong processor architecture knowledge: ARM/RISC-V ISA, symmetric multiprocessing, cache architecture, SIMD, Vector Processing, custom instructions
• Strong software, hardware and FPGA debugging capability
• Good communication, collaboration, task estimation & reporting, CI/CD via tools such as Confluence, Git, JIRA etc
• Familiarity with
• Python for prototyping, demo, verification and/or automation
• OS: GNU/Linux, proprietary RTOS, Bare metal

The following will be advantageous:

• Detailed and comprehensive understanding of TinyML (e.g. TensorFlow Lite for MCUs), from training, quantization through to operator execution, optimizing for power, performance, and size.

Requirements:

1. Ph.D/MSEE/BSEE in Electrical Engineering, Computer Science or Computer Engineering
2. At least 5 years of commercial embedded system architecture and development experience.
3. Experienced in fixed point computing implementation strategies, such as quantization, scaling, saturation and overflow handling.
4. Design, implement, and maintain high-quality C/C++ functional & bit-Accurate Model for NPU operation simulation

Description:

• Lead applied research and strategic definition of machine learning algorithms, quantization methodologies, and toolchain capabilities for the Neural Network Development Kit (NDK) roadmap targeting next-generation Edge AI compute solutions
• Drive innovation at the intersection of ML algorithms and constrained hardware environments, identifying and validating the latest Edge AI technologies applicable to product requirements
• Serve as the primary technical interface between the AI Architecture team and the Software (Edge AI) team, delivering well-researched toolchain feature proposals and algorithmic specifications for implementation
• Collaborate with Software (Edge AI) and AI Architecture teams to identify and pursue targeted improvements in ML software methodology, and support Software-initiated improvement efforts with algorithmic insight and implementation guidance
• Maintain deep engagement with the global Edge AI research community to ensure the NDK roadmap reflects the state of the art in model efficiency, compression, and on-device learning

Key Responsibilities:

• Collaborate with the Sr. Design Manager (AI Architect) to define and maintain the NDK toolchain feature roadmap, ensuring alignment with the NPU hardware roadmap and overall AI product strategy
• Research, evaluate, and recommend quantization algorithms, pruning strategies, knowledge distillation techniques, and other model compression methodologies suited to constrained hardware targets
• Assemble and lead focused task forces drawing on partial bandwidth from the Software (Edge AI) and IC Design teams to prototype, benchmark, and validate proposed toolchain concepts before broader commitment
• Prototype and benchmark candidate ML algorithms and toolchain features to quantitatively demonstrate accuracy-performance trade-offs and justify roadmap prioritization

• Translate hardware architectural capabilities and constraints (as defined by the NPU Architect) into concrete toolchain feature requirements and algorithmic optimization opportunities
• Deliver comprehensive technical specifications and algorithmic documentation to the Software (Edge AI) team to enable confident and accurate implementation of NDK features
• Collaborate closely with the Software (Edge AI) team throughout the implementation phase to resolve algorithmic questions, validate correctness of implementations, and ensure performance targets are met
• Actively monitor and synthesize developments from the Edge AI research community — including publications, open-source frameworks, and industry benchmarks — to continuously inform and refresh the NDK roadmap
• Partner with the Software (Edge AI) team to jointly identify ML toolchain methodology improvement opportunities and drive those that originate from the AI Architecture team; provide expert advisory support for methodology improvements initiated by the Software team
• Evaluate and apply a range of productivity tools and techniques — including but not limited to AI-assisted methods — to accelerate algorithmic prototyping, benchmarking, and specification productivity
• Evaluate and integrate relevant open-source ML frameworks, runtimes, and toolchain components (e.g., MLIR, TVM, ONNX Runtime) as acceleration vectors for NDK development

Requirements:

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Computer Engineering, or related technical field; PhD preferred, particularly in machine learning, optimization, or computer architecture
• 8+ years of experience in applied machine learning engineering or Edge AI software, with at least 5 years focused on model optimization, ML compilers, or on-device inference toolchain development
• Proven expertise in quantization (PTQ, QAT), pruning, knowledge distillation, and other model compression techniques with demonstrated results on resource-constrained hardware
• Strong knowledge of AI/ML algorithms, neural network architectures (CNNs, RNNs, Transformers, etc.), and the trade-offs between model accuracy, computational complexity, and memory footprint
• Demonstrated ability to stay at the forefront of the Edge AI research community, with a track record of translating academic and industry advances into practical product roadmap contributions
• Hands-on experience with mainstream ML frameworks (PyTorch, TensorFlow/Lite) and familiarity with ML compiler stacks such as MLIR, TVM, or ONNX Runtime
• Experience consuming hardware architectural specifications and translating them into software toolchain requirements and algorithmic optimizations
• Excellent communication skills with ability to present complex research findings and toolchain proposals clearly to architecture, software, and executive audiences
• Strong analytical and problem-solving abilities with emphasis on quantitative benchmarking, accuracy-efficiency trade-off analysis, and performance profiling on target hardware
• Demonstratedability to work collaboratively across team boundaries, including assembling and coordinating cross-functional task forces without direct authority
• Familiarity with RISC-V ISA and its software ecosystem, particularly in the context of AI inference deployment
• Experience with FPGA-based or simulator-based prototyping to validate algorithmic concepts against pre-silicon hardware models (preferred but not required)
• Self-motivated with ability to work independently, lead applied research initiatives, and drive toolchain innovation from algorithmic exploration through specification and successful team handoff

Highlights

• No experience required as training provided 

• Gross salary up to $3,200, including shift premium and allowances

• AWS + Variable Bonus (15% of Annual Salary) 

• Company transport from Boon Lay, Choa Chu Kang, Joo Koon, Pioneer, Woodlands, and Jurong East

• 2-2-3 shift pattern, average 14–15 working days per month
  

Job Responsibilities

• Operate production equipment and support daily manufacturing activities

• Perform quality checks and report any abnormalities

• Complete production documentation and system transactions accurately

• Follow GMP, GDP, SOP, safety, and quality requirements

• Maintain good housekeeping and support continuous improvement activities
  

Requirements

• NITEC / Higher NITEC or equivalent

• Candidates with or without experience are welcome

• Able to work 12-hour rotating day/night shifts on a 2-2-3 schedule

• Comfortable working in a cleanroom environment

• Responsible, disciplined, and willing to learn

Job Description

• Industry/ Organization Type: Industrial Equipment Manufacturer
• Position Title: Customer Consultant / Service Sales Engineer
• Working Location: Boon Lay
• Working Hours: 5 days (Mon – Fri, 8.30am – 5.30pm)
• Salary Package: Basic salary up to $4,800 + Transport Allowance + Variable Bonus
• Duration: Permanent Role

Key Responsibilities

• Act as the customer’s main contact person and handle customer-related matters
• Manage a group of accounts, identify key customers, and create action plans to grow these accounts
• Identify solutions needed to meet customer needs and work closely with the Technical Support Team to make them available
• Identify opportunities with existing and new customers, and update them on service value-added offerings
• Identify sales opportunities, prepare proposals, and coordinate related processes to maintain high customer satisfaction and strong customer relationships
• Support customer growth and loyalty through ongoing assistance and follow-up
• Handle customer complaints by working with internal teams to investigate issues, assess possible solutions, and recommend options to customers
• Arrange regular service reviews with customers and the Operations team for urgent jobs and key issues
• Understand customer and industry needs, and support pricing and sales strategies
• Prepare and review contract terms and conditions
• Present proposals to customers
• Share market feedback, including competitor updates, customer expectations, and industry trends
• Perform other related duties as assigned

APPLY NOW!!!

• Bachelor’s degree in Engineering with at least 2 years of relevant sales experience
• Knowledge of HVAC systems, chiller plants, airside systems, energy services, and building services is an advantage
• Able to read and understand engineering documents and respond professionally to customer questions or complaints; able to understand written instructions, emails, and reports
• Able to identify problems, gather data, and make sound conclusions
• Customer-focused, with a drive to propose suitable options to meet customer needs
• Willing to learn new solutions and improve skills to better support customers

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 #82096 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 | Rachael Lee | EA Reg No.: R2093131

All the responsibilities we will trust you with:

• Installation, maintenance and servicing of a wide variety of equipment including but not limited to:

1. General security systems
2. Alarm systems
3. CCTV systems
4. Access control systems

• Troubleshoot problems encountered on site.
• Diagnose and resolve issues related to network connectivity, server performance, and communication between security systems (e.g., CCTV, alarm systems, access control systems).
• Provide feedback to management on issues faced on the ground.
• Perform routine maintenance and firmware updates on servers, network devices, and security system software to ensure systems remain reliable and up to date.

Your areas of knowledge and expertise that matter most for this role:

• Candidate must possess at least a Professional Certificate/ NiTEC in Engineering (Electrical/Electronic) or equivalent.
• 2 years of working experience in the related field is preferred for this position.
• Candidate must possess a Class 3/Class 3A driving license.

Job Description:

·       Responsible for handling customer quality issues and continuous improvement activities of the Company products and processes.

·       Liaise with process department on quality related issues to follow-up on effective corrective/preventive actions.

·       Required to carry out activities such as process optimization, benchmarking, etc through various statistical tools and software.

·       Handle external body audit in accordance to TS & ISO requirement

Requirements:

·       Degree in Chemical/Mechanical Engineering, Chemistry, Materials Science or equivalent.

·       Relevant experience from the semiconductor industry in servicing customer in quality related issues is a plus.

·       Knowledge of statistical software such as DOE & JMP and QC tools (FMEA, SPC and 8D format report writing) will be an added advantage.

·       Statistically inclined with good analytical & problem solving skills;

·       Self-motivated, resourceful, action-focused and result-oriented team player.

·       Familiar with IATF16949 requirement is a plus.

·       Willing to travel overseas

HOW TO APPLY:

Interested applicants, please click on “Apply Now” or submit your resume to ref71@trustrecruit.com.sg

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Lee Jia Xiang

EA Personnel Reg No: R25158171

Job Description:

• Responsible for developing, testing, and improving premium connections and OCTG products during the development phase, ensuring they meet rigorous industry standards.
• Coordinating with customers and providing technical advice/training on the range of OCTG products, often involving rig field services.
• Executing validation tests (often in specialized, high-pressure, or high-temperature environments) to verify the integrity and performance of new designs.
• Planning, managing, and documenting test results for internal and client review.

Requirements:

• Min Diploma in Mechanical/ Manufacturing/ Precision Engineering, or equivalent.
• Minimum 3 years of experience in Oil and Gas, specifically with OCTG and downhole tools.
• Knowledge of ISO/API standards related to OCTG and connections. 

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

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

RN Care Pte. Ltd.
EA License No: 17C8900

We 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

Job Description:

• Implement sales strategies to expand the customer and distributor network within the designated territory
• Engage with consultants, contractors, and visit project sites to showcase products and create business opportunities
• Organize and deliver product training sessions and technical presentations on a regular basis
• Offer technical assistance to clients and partners both before and after the sale
• Track market developments, gather customer insights, and observe competitor actions
• Compile and present sales updates, projections, and activity reports as needed

Requirements:

• Diploma in Electrical Engineering or related field
• Minimum 2 years of sales experience in Electrical Installation Industry
• Excellent communication, negotiation and presentation skills

Interested applicants for the above advertised position(s), please kindly email an updated copy of your resume to: gs1@talenttradersg.com;

EA License No.: 13C6305

Registration No.: R23117856 CHOE KIN MUN

For candidate who applied for the advertised position is deemed to have consented to us that we may collect, use or disclose your personal information for purpose in connection with the services provided by us.

Responsibilities

• Design and implement digital trunked radio systems for MRT/LRT communications, ensuring alignment with project specifications and client expectations.
• Interpret project requirements and translate them into high-performance radio system designs tailored for rail environments.
• Develop and review IT network architectures at radio network system level and BIM-based system drawings to design efficient RF cable routing and comprehensive coverage planning.
• Perform RF engineering analyses, including intermodulation and interference studies, EMC/EMI assessments, cell planning, and RF link budgeting to ensure reliable system performance across both dense urban and rural environment.
• Lead system integration activities, coordinating with other sub-systems, site testing, commissioning, conduct troubleshooting and providing post-deployment warranty support.
• Analyze and interpret complex technical documentation, including schematics, engineering drawings, and design specifications.
• Ensure compliance with all technical and operational project requirements, while securing necessary client approvals.
• Participate in project meetings, handling administrative responsibilities and supporting overall project execution.
• Manage stakeholder engagement, maintaining clear communication with internal teams, clients, suppliers, and overseeing project resources and managing subcontractor activities.
• Implement cybersecurity measures to safeguard radio communication systems against potential threats and vulnerabilities.
• Prepare and deliver technical documentation, design drawings, and presentations using tools such as PowerPoint.
• Troubleshoot and improve system performance by analyzing operational logs, applying system patches, and conducting validation tests

Requirements

• Diploma or Degree in Electronics, Electrical, Telecommunication Engineering, or a related field.
• Good understanding of cybersecurity principles, especially in communication systems.
• Strong multitasking and time management skills, with the ability to perform under pressure and meet tight deadlines.
• Willingness to travel for overseas assignments and adaptable to working hours aligned with railway engineering schedules.
• Proactive and independent, with excellent teamwork and communication skills.
• Proficient in Microsoft Office applications.
• Exposure to radio communication systems from major suppliers is advantageous.
• Familiarity with: Integration protocols for peripheral systems
• Radio network configuration and performance parameters
• RF propagation modeling techniques
• IP addressing schemes and network routing
• IT network infrastructure, including firewalls and LAN switches
• Air interface protocols specific to railway communication environments

Description:

• You would be part of a dynamic digital SoC design team that develops state-of-the-art video processing, neural processing, advanced video analytics accelerators, and the entire Camera Processor SoC. You would be joining the team to explore, evaluate and define innovative design SoC architectures, to meet or exceed the technical requirements of the SoC. You would be responsible for the successful implementation of the designs in Verilog/SystemVerilog coding, metrics measurement to meet key objectives & results, and follow-through in comprehensive verifications to successful silicon.

Requirements:

• Experience in SoC architecture and design, and RTL coding with Verilog/SystemVerilog
• Experience in ARM or RISC-V processor system
• Experience in embedded C and assembly code programming
• Experience in analysis of power, timing and area
• Experience in at least one of scripting languages (e.g. Perl, Python, TCL, or Bash)
• Disciplined, quality-minded, and highly driven for excellence
• Excellent team player and good communication skills
• MSEE/BSEE in Electrical Engineering or Computer Engineering, with 8 years of relevant experience
• Experience in always-on system, automotive system, secured system, bus interconnect, neural processing, video processing and video analytics is a plus
• Experience in system modelling and simulation using emulator and SystemC is a plus
• Experience in UVM verification methodology is a plus
• Passionate and strong in general programming is a plus

Position Overview:

• As a design verification engineer, you will be part of a passionate verification team that is constantly pushing the limits – developing and deploying state-of-the-art verification methodologies in ever-increasing design complexities, from UVM, C/C++ co-simulation, system emulation to mixed-mode simulation & formal verification. The goal is simple – to achieve zero-defect with the best and smartest approach to the large verification space.

Requirements:

• Experience in UVM verification methodology
• Disciplined, quality-minded, and highly driven for excellence,
• Excellent team player and good communication skills
• MSEE/BSEE in Electrical Engineering or Computer Engineering, with 8 years of relevant experience, but are open to fresh graduates with outstanding results
• Candidates with relevant experiences would be offered as Staff or Sr. Staff, taking on higher responsibilities
• Experience in video processing and video analytics is a plus
• Passionate and strong in general programming is a plus

Position Overview:

As a Sr. Staff signal integrity engineer, you will be working on challenging SI and PI tasks in globally distributed teams. You will be supporting SI/PI signoff of chip design, package design and PCB design in order to support successful delivery of products of various product lines to market. You will be working with design, test, P&R and application teams globally for modeling of chip high speed I/O and power rails. You will be supporting customers in signing off hardware design or resolving SI/PI issues where system design has constraints. You will also be involved in defining specifications of product electrical performance. You may also be involved in modeling and simulation of EMC issues.

Responsibilities:

Primary (70%):

• Responsible for SI/PI signoff of chip design, package design and PCB design.
• Responsible for modeling high speed I/O and PDN.
• Responsible for customer support for PCB design signoff and issue debug.

Secondary (30%):

• Responsible for product electrical specifications related to high speed I/O.
• Responsible for modeling and simulation of EMC issues.

Requirements:

• 10+ years of working experience in SI/PI
• Deep understanding of electromagnetic theory, transmission line theory and microwave theory
• Familiar with SI/PI design flow, time domain and frequency domain modeling and simulation
• Good comprehension of PLL, equalization, CDR, jitter, noise, IBIS modeling, 8b10b encoding
• Hands on experience with lab equipment such as the high speed oscilloscope, spectrum analyzer and network analyzer
• Skilled with SI/PI simulation tools from ANSYS, Cadence, Keysight and others.
• Skilled in data processing with script in Python, Matlab or other languages.
• Experience in MIPI D-PHY, C-PHY and PAM-4 is a plus.
• Good communication skills and team work.
• MS/PhD

Main Responsibilities

• Collaborate with the Customer Service Representative to timely resolve client's security system issues.
• Deliver comprehensive support and maintenance services, encompassing routine preventative maintenance, troubleshooting, system upgrades, expansions, alterations, and systems training.
• Create detailed system diagrams using AutoCAD software.
• Build strong partnerships with clients while continuously striving to enhance customer satisfaction.
• Maintain the support & maintenance contract renewal.
• Ensure the excellence of services by strictly adhering to company standards and policies, service requests within the designated region.
• Perform regular preventive maintenance tasks and effectively address daily troubleshooting requirements.
• Thoroughly follow up on all open technical issues until the problems are fully resolved.
• Assume ownership of all service-related issues once the External Hand Over is completed by the Project team.

Requirements

• Diploma in Electronic, Computer, Automatization or Mechanical Engineering.
• Experience in security system field with knowledge of Access Control or CCTV is a must.
• Basic IT knowledge in hardware, network and database
• Ability to work under pressure.
• Strong analytical skill and problem-solving ability.
• Strong self-learning ability, work independently.
• Customer-orientation.
• Excellent communication and interpersonal skills.
• Required to stand-by for night jobs (Rotational basis)

Interested applicants please send your resume to venessagoh@recruitexpress.com.sg

Venessa Goh Wee Ni

R24124686

Recruit Express Pte Ltd

EA License No: 99C4599

We regret that only shortlisted candidates will be contacted.

ob Description:

• Work closely with software architect and other team members within the software development team to detail the software architecture for C3 (Command, Control and Communication) software system
• Review and refine product requirements of the assigned subsystem to form a stable basis for product development
• Translate the requirement into software design that conforms to the software architecture, and maintain the traceability between each stage of the design
• Provide technical support during integration and testing

Requirements:

• Degree in Computer Science, Computer Engineering or Information Technology
• Minimum 2 years of software development experience and have gone through at least 2 cycles of SLDC, preferably in developing and/or maintaining software solutions for high data volume, high performance and high availability software system
• Candidate with no experience are welcomed to apply
• Having good knowledge of advance C++ features such as multi-thread, thread safe, effective C++ programming, the fundamentals of C++, STL & ATL etc.
• Experience in developing complex C3 software system will be an advantage
• Experience with Oracle, SQL Server database will be advantageous
• 5 day week @ AMK area
• 8.30am to 6.00pm

Maestro HR

damien lee tian hong

R1106726

16C8462