Total 2,187 Senior Executive procurement engineer job vacancies in Singapore

Lead the design and delivery of secure, scalable, and cloud-native platforms while mentoring engineers and driving engineering excellence.

What You'll Do

• Design, build, and operate cloud-native infrastructure and platform services.

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

• Drive architecture decisions, technical standards, and engineering best practices.

• Lead CI/CD, automation, observability, and reliability initiatives.

• Mentor engineers through code reviews, technical guidance, and capability development.

• Collaborate closely with product and engineering stakeholders to deliver scalable solutions.

• Champion documentation, architecture governance, and continuous improvement.

• Work in an Agile environment focused on quality, innovation, and operational excellence.

What We're Looking For

• Strong expertise in Golang, Kubernetes, cloud infrastructure, and DevOps practices.

• Proven experience leading technical teams and delivering complex platform solutions.

• Passion for scalable architecture, automation, reliability, and engineering excellence.
  

  
  Working Location : Central
  

  Looking for candidate with at least 7 years of working experience in Golang development.
  Experience in Singpass and GCC+ is an advantage
  

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

• Well Established Industrial Automation Company (MNC)

• $5000 + $6300 + Variable Bonus

• Company located at Woodlands

• Monday – Friday: 8:30am – 5:30pm

• Excellent Welfare & Benefits

Job Scope

• Collaboration with Project Manager and customer to understand design requirements and
• specifications for the product.
• Analyse project requirements and participate in concept generation.
• Design high precision and high-tech automation equipment.
• Selection of standard components such as sensor, pneumatic, motor, servo axis and robotics.
• BOM preparation using SAP.
• Coordinate with fabrication house and component suppliers.
• Report project progress to Project Manager and superior.
• Guide assembly technicians to build and test the equipment.
• Collaborate with cross-functional teams (including design, manufacturing, and quality assurance)to ensure compliance with industry standards and regulatory requirements.

Requirement

• Degree in Mechanical Engineering / Mechatronics or related disciplines
• 5 - 8 years of relevant experiences in automation equipment design
• Proficient in SolidWorks 3D and EPDM software

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

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

We regret that only shortlisted candidates will be contacted.

KHOOSOT MEI (R21102604)

EA Recruitment Pte Ltd

EA License No: 21C0492

Key Responsibilities:

• Lead the architecture design (e.g. memory cells, select transistors, and peripheral devices), process integration, electrical characterization, modeling and simulation, failure analysis for 3D NAND devices.
• Design and execute DoE, analyze the impact of process variations on device performance and reliability (such as durability and data retention), and propose improvement solutions.
• Collaborate with the process development team to assess new device architectures, driving technology iteration.
• Write detailed technical reports and support customers or internal teams in resolving related technical issues.

Required Qualifications:

1. Education: Master's degree or above
2. Major: Microelectronics, physics, material science & engineering, chemistry;
3. Other Requirements:

• 8+ years of semiconductor device work experience, 3+ years of 3D NAND work experience.
• In-depth knowledge of 3D NAND device physics, familiar with its principles, failure modes, and reliability mechanisms.
• Troubleshooting, and problem-solving capabilities, with experience in successfully improving device performance or yield.
• Familiar with advanced semiconductor manufacturing processes and integration flows.
• Strong cross-team communication and collaboration skills.

Join as an Assistant Manager (Finance & Procurement). You will support daily office operations, manage procurement activities, maintain vendor services, and ensure accurate student record administration and reporting. You will also support planning and execution for annual Commencement and related events.

What you’ll do:

• Oversee day-to-day office administration, including fixed asset management

• Handle procurement activities (sourcing, purchasing, and renewals) within budget and policy guidelines

• Coordinate hiring procedures for agency/contract staff in collaboration with departments

• Maintain vendor contracts and arrange preventative maintenance to reduce downtime

• Support student records administration, data integrity, and reporting (including EduRec updates)

• Prepare detailed reports and ensure confidentiality and accuracy

• Assist with annual Commencement logistics and stakeholder communications

• Support team coordination and process improvements

Requirements:

• Degree in any discipline (finance background is an advantage)

• Strong competency in Microsoft Excel

• Good organisational and stakeholder management skills

• Ability to work independently and manage multiple priorities in a fast-paced environment

• Meticulous and able to meet tight timelines

• Proficient in Microsoft Office

• Able to work on weekends on an ad-hoc basis to support examination operations

• Experience as an office manager and/or exposure to SAP S/4HANA
  

Responsibilities:

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

Requirements:

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

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

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

RN Care Pte. Ltd
EA License No: 17C8900

We 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 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.

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

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.

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.

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

Job Description:

• In Charge of auditing and assessing the suitability of suppliers
• Responsible for initiating and managing project transfer
• Responsible for guiding and implementing improvement programs as well as negotiating and balancing capacity among suppliers
• Responsible for FA Inspection of casting and machining services
• In Charge of managing the foundries which include quality and delivery performance
• In charge of handling the non-conformance parts follow up
• Responsible for checking and monitoring suppliers to ensure delivery

Requirements:

• Min Diploma in Precision Engineering or relevant
• Min 5 years of experience in Metal Machining industry with experience in QC/ Audit
• Extensive travelling is required

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

• 5 Work Days Per Week
• Current Office Near to Kaki Bukit MRT
• Will Relocate To Tai Seng MRT in August 2026
• Medical & Dental Benefits Provided
• Entitled to Yearly Bonus & Performance Bonus

Current Teams are focusing on AI Agent, Computer Vision, Vision Language Models (VLMs)

Job Responsibilities: 

• Algorithm Development: Development and optimization of machine learning and deep learning algorithms to solve complex business problems. 

• Model Training and Evaluation: Participate in the construction and training of artificial intelligence models, including but not limited to neural networks, decision trees, etc., evaluate and optimize the models to improve their performance and accuracy. 

• Data Analysis and Preprocessing: Conduct data collection, cleaning, preprocessing and feature engineering, provide high-quality data for model training, and arrange and guide data labelers to carry out data labeling and other work. 

• Collaboration and Deployment: Collaborate with team members to integrate algorithm models into actual business systems, promote the implementation of projects, and realize the intelligent upgrading of products. 

• Research and Innovations: Stay up to date with the latest advancements in AI and ML technologies. Explore and deploy new technologies, drive innovations to create value to market needs, and enhance the company’s competitiveness. Audio and video algorithms for surveillance/monitoring applications which also include the research and implementation of algorithms involving target detection, feature extraction, tracking, and recognition. 

• Documentation and Reporting: Maintain comprehensive documentation of algorithms, experiments, and project workflows. Communicate results and findings to technical and non-technical stakeholders. 

Job Requirements: 

1. Bachelor's or Master's Degree in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. 

2. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations. 

3. Strong programming skill in Python, C / C++, proficient in mathematical / statistical concepts and exceptional coding skills 

4. Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. 

5. Have rich project experience in machine learning and deep learning, be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems. 

6. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus 

7. Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM on mobile platforms and CPU / GPU on server platforms is also a plus. 

8. Strong logical thinking and problem-solving ability, able to independently undertake the research and tackling of complex problems and team spirit are highly valued traits. 
   

   
   Reolink, a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. 

   Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. 

   Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. 

Advanced Hardware & Emerging Technology

Our client is an innovative technology company developing next-generation communication and sensing solutions. Due to business expansion and ongoing R&D initiatives, they are looking for a passionate and hands-on Senior Electronics Engineer to join their growing engineering team in Singapore.

This opportunity is ideal for engineers who enjoy solving complex technical challenges, working on advanced hardware platforms, and contributing to cutting-edge product development in a highly collaborative environment.

Key Responsibilities

• Design, develop and test electronic hardware systems and subsystems
• Perform analog and digital circuit design, verification and troubleshooting
• Develop and optimize sensor interface and signal conditioning circuits
• Design and validate PCB layouts, including high-speed and mixed-signal designs
• Collaborate with multidisciplinary engineering teams throughout the product development lifecycle
• Conduct hardware integration, debugging, validation and performance testing
• Prepare technical documentation, test reports and engineering specifications
• Support continuous product improvement and technology development initiatives

Requirements

• Degree or Master's in Electrical Engineering, Electronics Engineering or related discipline
• At least 3 years of relevant electronics design experience
• Strong knowledge of analog and digital circuit design
• Experience with PCB design, testing and troubleshooting
• Familiarity with communication protocols such as SPI, I2C, USB, UART or CAN
• Hands-on experience with laboratory instruments and hardware validation activities
• Strong analytical and problem-solving skills
• Ability to work independently and within multidisciplinary project teams

Preferred Experience

Candidates with experience in any of the following areas will have an advantage:

• High-speed electronics
• Signal processing
• FPGA development
• Sensor technologies
• Optical or photonic systems
• Embedded systems
• Precision instrumentation
• Semiconductor or advanced technology industries
• R&D or product development environments

To Apply, kindly click on the "APPLY NOW" button.

We regret that only shortlisted candidates will be notified.

StaffKing Pte Ltd (20C0358) | Chong Kar Ming (John) (R21101412)