Total 2,027 Senior Executive mechanical engineer job vacancies in Australia

• 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. 

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

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)

• Permanent role
• Fast growing organisation in the tech security industry

About Our Client

We are partnering with a mid-sized player and fast growing organisation in the tech security industry, headquartered in US.

Job Description

• Able to design and code using Go to enhance the availability, scalability, latency, and efficiency of the systems
• To conduct and participate in code and design reviews to achieve and maintain high development standards
• Able to work with internal teams to explore and create new design/architectures for better scaling and performance of back-end services
• To engage in full-stack performance tuning and optimization

The Successful Applicant

• At least 5 years of working experience in back-end web development, mainly in Go language
• Strong experience in MySQL, MongoDB and other relational/NoSQL databases
• Strong experience in distributed systems design and architecture
• Has experience working on front-end languages is an advantage

What's on Offer

• Permanent role
• Fast growing organisation in the tech security industry
• Attractive benefits and overall remuneration package

If you are ready to take the next step in your career as a Senior Backend Engineer (Go), apply now to join a company that values innovation and excellence.

Contact

Cheryl Ang (Lic No: R2091316/ EA no: 18C9065)

Quote job ref

JN-012026-6913812

Phone number

+65 6416 9884

Michael Page (Personnel) Pte Ltd | Registration No.201736642C

COMPANY DESCRIPTION

REC Group is an international pioneering solar energy company dedicated to empowering consumers with clean, affordable solar power through high-quality solar panels with a leading power density. As Solar's Most Trusted, REC is known for its patented innovations and multiple award-winning products with reliable long-term performance. The cornerstone for REC's strong reliability is advanced and highly efficient manufacturing using Industry 4.0 practices. Founded in 1996 in Norway, REC has always been committed to a low carbon footprint in its solar materials and panels. REC is headquartered in Norway with operational headquarters in Singapore and regional hubs in North America, Europe, and Asia-Pacific. As of December 2021, REC is part of Reliance Industries Limited, India's largest private sector company with revenues of USD 104.6 billion.

Find out more at recgroup.com

RESPONSIBILITIES

We are looking for a Ingot & Wafer (IW) cum Contract Manufacturing Engineer with good ethics and strong passion to take on proactive roles of qualifying and managing external suppliers to achieve company's strategic directions and key yearly goals for ingot and wafer factory. This position requires good analytical and interpersonal skills to work with external suppliers to achieve continuous improvements in IW cost, yield and cell efficiency by implementing best known methods. Selected candidates will work closely with the Process/Integration/QA and Planning team to define all the necessary process and Quality Control procedures to meet product functional and reliability requirements. Frequent travelling to India HQ and ability/willingness to travel at short notices will be a pre-requisite in view of the job nature and requirement.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Safety

• Engineer must adhere to all the HSE principles and WI during the work.

Quality

• Remember all WI, SOP, and Quality Policy. Work with related internal departments (such as Production, Equipment, Quality, Technology) and external suppliers to resolve wafer/cells/modules quality issues and implement required decisions made by internal management at the external supplier sites.
• Ensure no quality issues during qualification/certification and proper change management implementation phase.

Delivery

• Possess excellent project management skills by establishing schedules, coordinating with required resources both within the organization or external suppliers, projecting cost of qualifications/certification projects and risks identification to implement and execute the required projects.
• Responsible to generate bill of materials (BOMs) and Design/Engineering change, product transfer to internal/external lines and lead in DFMEA/PFMEA for product change.
• Ability to create and maintain excellent internal/external customer supplier relationship through excellent interpersonal and communication skills.
• The Key Performance indicators are the results and prompt project schedule control.

Cost

• Initiate and lead cost-reduction projects relating to cost reduction.
• These types of projects will relate to man, method, machine, and materials.
• In cases where projects are not initiated, participation towards such project will also be required.
• Assessment on external suppliers for IW and external wafer as potential cost driver as alternative/new material as well as supply risk mitigation.

Continuous Improvement

• Initiate and lead projects relating to IW cost reduction, IW production yield, cell efficiency and module power improvement activities.
• To run and execute projects base on RPDM process flow.
• Engineer will have the chance to research on new processes and materials at the suppliers' site to be implemented into our internal production environment.

Others

• Perform other duties as assigned. Duties will vary according to the degree of difficulties and involvement of the specific targets set in the department.
• Develop and maintain proper job methods, work instructions and change management.
• Regular reporting of project status.
• Lead trouble-shooting and root cause analysis efforts to resolve issues.

ESSENTIAL JOB COMPETENCIES:

Technical

• Strong technical knowledge in solar ingot growth, wafer manufacturing, and wafer-related process development.
• Familiarity with new material evaluation, qualification, and R&D activities for photovoltaic applications.
• Good understanding of process parameters, material behavior, product performance, and manufacturing requirements across upstream and downstream operations.
• Able to work in a fast-paced environment with good adaptability and professional judgment.
• Proficient in engineering data analysis, statistical interpretation, and technical assessment to support development and process improvement.
• Proficiency in English Language and at least one other language(s) is necessary to liaise with various stakeholders incl. vendors/suppliers.

Analytical & Problem Solving

• Strong analytical capability to identify technical gaps, interpret data trends, and solve process or material related issues effectively.
• Able to perform root cause analysis, evaluate risk, and develop practical corrective and preventive actions.
• Capable of translating complex engineering data into clear conclusions and actionable recommendations.

Soft Skills & Professional Attributes

• Good communication and collaboration skills to work effectively with cross-functional teams, suppliers, and stakeholders.
• Proactive, detail-oriented, and results-driven, with a strong sense of ownership and accountability.
• Able to work in a fast-paced environment with good adaptability and professional judgment.

Leadership

• Able to provide technical guidance and influence decision-making in material development, qualification, and process improvement activities.
• Demonstrates initiative in driving problem resolution, cross-functional alignment, and continuous improvement.
• Capable of supporting team development through knowledge sharing and technical mentoring.

Project Management

• Experience in managing technical projects related to material qualification, process development, plant ramp-up, or cost reduction initiatives.
• Able to coordinate timelines, resources, deliverables, and stakeholder communication to ensure effective project execution.
• Strong ability to prioritize tasks, track progress, and deliver outcomes within schedule and business objectives.

ADDITIONAL RESPONSIBILITIES:

• Perform other duties as assigned. Duties will vary according to the degree of difficulties and involvement of the specific targets set in the department.
• Develop and maintain proper job methods, work instructions and change management.
• Regular reporting of project status.
• Lead troubleshooting and root cause analysis efforts to resolve issues.

Technical / Professional:

• Degree in Electrical/Electronics/Mechanical/ Materials Engineering.

Technological:

• Working experience in Solar/Semiconductors/Electronics manufacturing industries will be an advantage.
• Knowledge in Semiconductor/Ingot & Wafer, Solar cell and module processes
• Knowledge in FMEA, DFMEA, DOE, Fish-Bone Analysis
• Strong technical analysis competency with the use of analytical tools like JMP, Mini-Tab for troubleshooting and data mining.

General:

• Suitable to work in cleanroom, outdoor testing, and wafer slicing/manufacturing environments.
• Able to adapt to different working conditions and support hands-on technical activities. Able to carry cell/wafer for testing. (
• Familiar with safety, discipline, and operational requirements in both lab and production settings.
• Ability to work under stress in a fast-paced environment with self-motivation.

People/Relations:

• Dynamic & committed with proactive working attitude.
• Ability to initiate without being asked.
• Challenging spirit to improve current conditions.
• Highly effective personal skills - communication and organization.
• Good Team player.

People Management:

• Able to work effectively with cross-functional teams across R&D, engineering, production, and quality.
• Capable of guiding team members, coordinating tasks, and supporting timely issue resolution.
• Demonstrates good communication, teamwork, and accountability.

Project Management:

• Able to manage technical projects related to material evaluation, process development, and cost improvement.
• Capable of coordinating timeline, resources, and deliverables to ensure smooth execution.
• Able to identify risks, track progress, and drive project completion.

Additional Advantageous Skills:

• Ability to perform software simulations using SPICE or MATLAB.
• Electrical characterization and physical characterization/ Failure Analysis tools for systematic troubleshooting and improvement.
• Characterization tools/technique competency preferred include: IQE tester, Spectrophotometer, Ellipsometer, Semilab WT-2000, Sinton WCT-1200, Corescan, Photoluminescence Technique and Electroluminescence Technique.

Job Description:

• Develops and optimizes BCD process technology and devices for power applications, involving TCAD simulations, device layout, characterization, and bench testing
• Develop and integrate new BCD device architectures and process modules for company BCD platforms.
• Conduct TCAD simulations to understand device behavior and calibrate simulation models to match experimental results.
• Design and lay out device test structures and new BCD device platforms.
• Analyze device performance and reliability through bench testing and data collection.
• Work with cross-functional teams, including the modeling team, to satisfy customer needs and develop advanced device models.

Job Requirement:

• Min Degree in Physics or Electrical Engineering.
• Min 3 year of expereince in TCAD (Technology Computer-Aided Design) tools for simulation and calibration.
• Experience with device layout, design rule checks, and test structure generation.
• Knowledge of BCD process development and device characterization techniques.

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.

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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.

Working day: Monday - Friday
Working Hour: 830am - 5:30pm
Salary range: $4000 - $6000 (depend on experience)
Location: Woodlands Ave (Nearest Mrt: Admiralty)

We are seeking a skilled Automation Senior Mechanical Design Engineer to join our team focused on Mechanical Design of automation equipment for electronics industry such as Semi-con and Printed circuit board, and other customized factory automation systems.

Responsibilities:

• 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.

Job Requirement:

• Bachelor’s degree / Diploma in Mechanical Engineering / Mechatronics or related field preferred.
• Min 6 years of relevant experience in automation equipment design.
• Knowledge and experience in factory automation is an advantage.
• Experience in electrical, pneumatic, and sensor component selections.
• Proficient in Solidworks 3D and EPDM software.
• Knowledge of industry standards and regulations related to machine safety and performance (e.g., ISO, IEC standards).
• Familiarity with reliability engineering principles and techniques.

 The Supreme HR Advisory Pte. Ltd || 14C7279
Chua Jie Ying (Cai Jie Ying), Evelynn || EA Personnel License R24120580

We are seeking an experienced Infrastructure Administrator to manage and maintain on-premises Azure Stack Hub, enterprise monitoring tools, and supporting infrastructure. The role involves system administration, patch management, and ensuring high availability and performance across hybrid cloud environments.

Job Description

• Administering, maintaining, and supporting Azure Stack Hub infrastructure in a production environment.
• Planning and executing Azure Stack Hub, Dell EMC, and infrastructure patching, upgrades, and lifecycle management activities.
• Managing and supporting Microsoft Hyper-V virtualization platforms, including cluster administration, performance optimization, and troubleshooting.
• Administering and optimizing Splunk platforms, including log management, monitoring, analytics, alerting, and AI/ML-enabled capabilities.
• Managing Active Directory services, including user and group administration, Group Policy (GPO) management, authentication, and access controls.
• Administering enterprise monitoring platforms such as System Center Operations Manager (SCOM) and Solar Winds to ensure proactive monitoring and incident management.
• Performing system health checks, root cause analysis, troubleshooting, and performance tuning across infrastructure components.
• Managing backup,recovery, and disaster recovery processes to ensure business continuity and operational resilience.
• Developing and maintaining technical documentation, operational procedures, knowledge base articles, and support run books.

Requirements:

• Proven experience in administering and supporting Azure Stack Hub environments, including patching and updates.
• Hands-on experience with Dell EMC infrastructure administration and life-cycle management.
• Strong knowledge of Microsoft Hyper-V virtualization technologies.
• Experience administering Splunk, including dashboard creation, log on boarding,alerting, reporting, and analytics.
• Familiarity with Splunk AI/ML capabilities is an advantage.
• Solid experience with Active Directory, Group Policy, and identity management.
• Experience with enterprise monitoring tools such as SCOM and Solar Winds.
• Strong knowledge of Windows Server and Red Hat Enterprise Linux (RHEL) environments.
• Experience in enterprise infrastructure operations, incident management, and troubleshooting complex technical issues.
• Understanding of backup technologies, disaster recovery planning, and business continuity practices.

(EA Reg No:20C0312)

Please email a copy of your detailed resume to abegail@talentsis.com.sg for immediate processing.

Only shortlisted candidates will be notified.

Client introduction

Our client is a long-established professional services and business solutions group in Singapore. With more than 30 years in the market, they serve a broad client base across accounting, tax, advisory, payroll, corporate services and technology consulting. The firm holds recognised security and data accreditations (including ISO 27001 and a national Cyber Trust mark), so infrastructure standards and security posture sit at the centre of how they operate. They are now investing in IT capability and are looking for a hands-on engineer to lead build and implementation work rather than keep-the-lights-on support.

Job responsibilities

• Lead the design, build and implementation of Windows-based infrastructure from the ground up, including full tear-down and rebuild of existing environments where required.
• Stand up and configure Windows Server environments, Active Directory, Group Policy, DNS/DHCP and related core services as part of new builds and migrations.
• Plan and execute server and infrastructure migrations, consolidations and refreshes, including cutover planning and rollback.
• Build and configure virtualisation and storage layers (for example VMware or Hyper-V) as part of greenfield and rebuild projects.
• Implement and harden systems to meet the firm's security and compliance standards, including patching strategy, access controls and baseline configurations.
• Automate build, configuration and deployment tasks using scripting (for example PowerShell) to make environments repeatable and consistent.
• Produce build documentation, runbooks and as-built records, and hand over stabilised environments to support teams.
• Work with internal stakeholders and vendors to scope requirements and deliver implementation projects on time.

Job requirements

• Around 6 or more years of hands-on systems engineering experience, with a clear track record of implementation and build work (not primarily maintenance or service-desk).
• Strong Windows Server engineering depth: Active Directory, Group Policy, DNS, DHCP, certificate services and related infrastructure.
• Backgrounds in systems integration, IT consulting or managed services are well-suited to this role, given the breadth of hands-on implementation exposure these environments provide.
• Demonstrable experience building environments from scratch and / or rebuilding existing ones, with examples you can talk through in detail.
• Solid virtualisation experience (VMware and / or Hyper-V) and a working understanding of storage and networking fundamentals.
• Scripting and automation capability, ideally PowerShell, for repeatable deployments.
• Comfortable owning the engineering side of a project end to end, from design through to cutover and documentation.
• Exposure to Microsoft 365 / Azure and to security hardening or compliance-driven environments is an advantage.

Why you should join them

• A genuine build mandate. This is an implementation-led role where the work is designing and standing up infrastructure, not maintaining a static estate.
• Real project ownership, with the autonomy to make engineering decisions rather than follow a runbook written by someone else.
• A stable, well-established firm with strong security and compliance accreditations, so good engineering practice is valued rather than cut.
• Broad technology exposure across a multi-service business, with room to grow into infrastructure leadership.

JL
Reg. No. R1766249
BeathChapman Pte Ltd
Licence no. 16S8112

About our group:

Media new product launch is to provide technical solutions to new product qualification, product yield, quality and reliability through developing new process and metrology. The team also needs to work closely with media R&D group and drive design center to continue optimize media process in order to meet product electrical recording performance as well as mechanical, tribology, manufacturability. Internally, the team need to work with different functional groups to deliver new mag design in very dynamic and challenging environment. 

About the role - you will:

Reporting to the Engineering Director, the incumbent will:

• Develop on HAMR sputter process to improve media ADC and mechanical performance to meet new product timeline.
• Design of experiment to understand the process window/margin.
• Good understanding of recording physics.
• Work with cross functional team on new alloys/process related defect issues.
• Transfer new product process into mass production and continue improve process to meet customer requirement.
• Technical lead of sputter projects.

About you:

Key characteristics defining outstanding candidates:

• Good understanding on magnetic recording materials, process and thin film technology.
• Teamwork and self-motivated.
• Fast learning capability.
• Strong communication and technical leadership skills.
• Ability to drive technical innovation into rapid product solutions.
• Flexibility and excellent time and task management capabilities.

Your experience includes:

• Master or Ph.D degree in Material science, magnetic recording physics or related engineering disciplines.
• Knowledge and skills in any of these areas – Material science, HAMR knowledge, thin film sputter process.
• R&D in magnetic recording media process, including process DOE, magnetic characterization tools, and data analysis techniques are all skills that will be beneficial in this role.
• Proficient in English speaking and writing.