Total 2,485 Senior Executive construction engineer job vacancies

• Lead solution architecture and design for multi-site, geo-redundant systems. Develop High-Level and Low-Level Designs (HLD/LLD) and validate Detailed-Level Designs (DLD) before deployment.
• Define reference architectures and golden images; champion automation-first strategies for provisioning, configuration, patching, and system upgrades.
• Own technical delivery plans, risk identification, and mitigation strategies across staging and production environments. Ensure proper validation through documented unit, integration, and UAT testing.
• Partner with engineering and PMO teams to maintain governance frameworks, manage change control, and align key stakeholders at every project milestone.
• Serve as the highest-level (Tier-3/4) escalation point for critical incidents (Sev-1/Sev-2). Lead incident resolution, conduct root-cause investigations, and drive implementation of permanent corrective measures.
• Act as the technical lead during pre-sales and delivery phasesclarifying requirements, validating assumptions, and translating business needs into technical designs in collaboration with Sales, Service Excellence, Product, and PMO teams.
• Lead technical workshops, architecture reviews, and formal handovers. Represent engineering leadership in change advisory boards and go/no-go decision meetings.
• Ensure HLDs, LLDs, runbooks, disaster recovery procedures, and security hardening guides are up to date, version-controlled, and consistently applied across delivery teams.
• Mentor System Engineers and Senior Engineers, review technical designs and scripts, set quality benchmarks, and guide professional growth and cross-training efforts.
• Drive close collaboration with Sales, Service Excellence, Product, and Customer teams to deliver cohesive and high-quality solutions.

Technical Skills and Experience

• Linux Administration: Advanced expertise in RHEL, CentOS, and Ubuntu, including system hardening, high-availability clustering, and performance optimization.
• Networking and Security: Strong understanding of switching, routing, firewalls, VLANs, and core protocols (TCP/IP, DNS, NTP, LDAP, SMTP); capable of making architecture-level security and design decisions.
• Virtualization and Cloud: Skilled in KVM, VMware, and Hyper-V platforms; proficient in designing hybrid architectures across AWS, Azure, and GCP with cost and performance optimization.
• Data and Observability: Hands-on experience with MySQL, MariaDB, and PostgreSQL; familiarity with centralized logging, metrics, and alerting tools such as syslog-ng and Elastic Stack.
• Automation and Scripting: Proficient in Bash and Linux shell scripting; working knowledge of Python, Ansible, and Terraform for infrastructure automation and CI/CD implementation.
• Containerization: Experience with Docker, Docker Swarm, and Kubernetes for building, deploying, and managing scalable containerized applications.
• Implementation Support: Willing to engage directly in hands-on configurations and deployments for critical or high-priority projects.

Requirements

• Minimum 10 years of experience in systems engineering, including at least 3 years in an architecture or principal engineering capacity managing complex deployments.
• Preferred certifications include RHCE, AWS/Azure Solutions Architect, Kubernetes (CKA/CKAD), and network/security credentials such as CCNP.
• Willingness to travel for onsite deployments, implementations, and cutover activities when necessary.
• Strong leadership, communication, and stakeholder management skills, with the ability to influence and drive outcomes across technical and business teams.

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

Summary

Transcelestial’s vision is to improve the connectivity experience for the next billion people. We believe that connectivity is a human right and Transcelestial is on a mission to solve the problem of internet distribution and provide affordable, high-speed internet to everyone.

Transcelestial’s next-generation wireless laser communication technology is one of the most effective solutions in the distribution of high-quality, high-speed internet connectivity, making it well-poised to solve civilization’s long-term communication needs - and ultimately improve connectivity for 1 billion users globally.

Highly reliable and secure, its light-weight, shoe-box sized CENTAURI device leverages its proprietary laser technology to create a wireless distribution network and can be quickly, easily and cost-effectively installed on any standard telecom pole or tower at a faster time-to-market than standard fiber-optic cable.

Over the longer-term, Transcelestial aims to develop a constellation of small satellites positioned in Low Earth Orbit, allowing their laser network to not only beam across cities but upwards to connect continents across the world too.

Our Values

• Lean & Simple. Our products are simple to use, we focus on what matters, we solve issues one by one and we spend smart.
• Approachable. Whoever you are, wherever you come from, don’t be shy! The best ideas can come from anywhere in the organisation.
• Supportive. We are a bunch of smart individuals delivering at their best working in teams. If you face an issue, you can be sure someone will jump in and help you.
• End user obsessed. Customers and end users are at the core of everything we do.
• Relentless innovators. Our technology is at the forefront of innovation. We are curious, we question everything, we love research and are passionate about the next big thing.

About the Role

The Senior Control Software Engineer (Space Laser Communications) is responsible for design and performance improvements of control systems at Transcelestial, specifically for our space laser communication devices. This position is part of the Space Team, led by Dr. Jan Smisek (https://www.linkedin.com/in/jan-smisek/). This position will also interact with the rest of the hardware, manufacturing and software design teams to assist with the overall development of the optical systems and new optical alignment technologies.

As a Senior Control Software Engineer, you will:

• Develop and maintain embedded software for laser-based communication devices, focusing on control design for high-performance, fault-tolerant systems.
• Define and implement technical requirements for key software components, such as control systems, signal processing, modulation/demodulation algorithms, fault detection.
• Collaborate with hardware and systems engineering teams to ensure seamless software-hardware integration and optimization for performance in space environments.
• Design software that adheres to industry standards and best practices, ensuring robustness in space applications.
• Develop, test, and validate software using both simulations and hardware-in-the-loop (HIL) environments. Contribute to system-level test plans, including hardware-software integration and comprehensive validation in various mission scenarios.

What you will bring:

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Aerospace Engineering, Software Engineering, or equivalent practical experience.
• 5+ years of experience in C++ software development, specifically for embedded systems in challenging environments.
• Proven ability to work independently while also thriving in a collaborative, cross-functional, and potentially international team.
• Strong problem-solving skills, with a history of diagnosing and addressing complex technical challenges.

It is a bonus if you:

• Experience working on laser-based communication, especially in aerospace applications.
• Experience with ADCS (Attitude Determination and Control Systems) for spacecraft.
• Hands-on experience with satellite missions, preferably through the full lifecycle of a spacecraft or its components.
• Proficiency with orbital simulation software (e.g., STK, Matlab Aerospace toolbox).
• Familiarity with control systems design, including development, testing, and validation in simulations (e.g., Mathworks Simulink) and on real hardware.
• Direct experience in developing embedded software for satellite communication payloads, with a solid grasp of space industry standards.
• Expertise with Robot Operating System (ROS/ROS2), and experience in integrating ROS modules into aerospace systems.
• Demonstrated experience with hardware-in-the-loop testing and system-level test planning.
• Signal processing and control algorithm development for spacecraft applications, including modulation/demodulation, fault tolerance, and encryption.
• Experience with FPGA development and integration for high-performance systems.

What’s in it for you:

• Be part of a high-performing team working on groundbreaking technology
• Earn a competitive salary and stock options package
• Company-provided Macbook Laptop
• Generous Annual Leave
• Comprehensive, top-tier medical benefits
• Daily lunch allowance (in-office)
• Free coffee and snacks
• A monthly “Nerd” fund for professional development

More About Transcelestial

Transcelestial has won numerous industry and global awards including the SPIFFY San Andreas Award for Most Disruptive Technology by Telecom Council, Forbes 30 Under 30 and Prestige 40 under 40 for our CTO Dr. Mohammad Danesh, Edge 35 Under 35 to our CEO Rohit Jha, The Most Ambitious Start-Up in Photonics Award by The Optical Society (OSA), etc.

Founded in Dec 2016, the Transcelestial team is located in Singapore and is backed by major investors such as Wavemaker Partners, EDBI, Airbus Ventures, Kickstart Ventures, Cap Vista, SEEDS Capital (Enterprise SG), Entrepreneur First, Partech Ventures, 500 Startups, AirTree Ventures, Tekton Ventures, SGInnovate, SparkLabs Global Ventures, Michael Seibel (CEO of Y-Combinator, Founder of Twitch.tv), Charles Songhurst (Microsoft’s former Head of Corporate Strategy) and others.

We are looking for an Senior Engineer in Product Engineering, NAND Validation/Characterization, specializing in functional and design validation. Experienced in simulation‑based validation, failure analysis, and cross‑functional issue closure. Strong focus on automation, data‑driven validation, and applied AI/ML techniques to improve test efficiency, coverage, and debug productivity.

This role focuses on building scalable, reusable, and automated test program frameworks, including AI/ML‑driven initiatives, to support both deterministic validation flows and pseudo‑random validation (RSG – Random Sequence Generator). You will play a key role in architecting the backbone of Verilog test programs—enabling efficient development, execution, debug, and reuse across multiple products and technology nodes. Validation scope includes NAND datasheet commands, features, interfaces, and customer‑mode operations on silicon platforms. When device issues are uncovered, you will perform deep failure analysis, drive root‑cause identification, and collaborate closely with Design, Application Engineering, Product, System, and Validation teams to ensure timely issue closure and infrastructure readiness for product release.

If you are looking for a technically challenging, high‑impact, and collaborative role, STPG Product Engineering (FDV‑Verilog) offers the opportunity to work on leading‑edge NAND technologies with strong ownership and visibility.

Key Responsibilities:

• Designed and executed functional and design validation flows for advanced RG NAND devices using simulation platforms

• Developed  deterministic usage‑case tests and random sequence generators to validate NAND commands and customer‑mode features

• Performed detailed failure analysis of issues seen, root‑cause investigations (including digital and analog circuitry), and drove issue resolution with cross-functional teams

• Implemented  automation frameworks using C‑based programming, Python, and Perl to improve test development and execution efficiency

• Applied  AI/ML‑assisted techniques (data analytics, pattern recognition, anomaly detection) to:

• Accelerate failure triage and root‑cause analysis

• Identify validation coverage gaps

• Improve random sequence effectiveness and debug prioritization

• Utilized data‑driven methods and dashboards to track validation progress, defect trends, and release readiness

• For senior engineer, need to have at least 3–5 years of relevant professional working experience in a similar or related engineering role.

Skills Required:

• Bachelor’s degree in Electronics Engineering, Computer Engineering, or a related discipline

• Strong interest in design validation, characterization, and product engineering

• Proficiency in software development and scripting (e.g., C/C++, Perl, Python)

• Ability to apply AI/ML for test analytics and defect pattern analysis

• Excellent problem solving and analytical skills, with careful attention to root cause analysis

• Effective communication skills in written and spoken English, including documentation and presentation

• Ability to multitask and manage priorities in a fast‑paced development environment

• Proactive mindset toward continuous improvement and self‑development
  

  Performs hardware, software, semiconductor design or telecomm engineering assignments. This job mapping should be used only if the position cannot be mapped specifically to other design/development engineering jobs.

As a NAND Reliability Product  Engineer, you will be responsible for defining, evaluating, and safeguarding the Extrinsic/Intrinsic reliability of Micron’s NAND Flash products. You will work hands‑on with large‑scale data analysis, electrical failure analysis, and cross‑functional teams to ensure robust product reliability and prevent escapes to customers.

This role offers deep technical ownership at the intersection of device physics, circuits, process technology, and product engineering, with strong visibility across development and manufacturing organizations.

Key Responsibilities

• Define and implement NAND Flash reliability test flows to assess product reliability performance and prevent extrinsic/intrinsic reliability escapes.

• Perform high‑volume statistical data analysis to evaluate NAND DPM/ intrinsic reliability risks and trends.

• Drive electrical failure analysis, including  advance characterization, to identify root causes and solution spaces.

• Develop short‑term countermeasures such as targeted stresses and screens, applying knowledge of digital/analog circuits, device physics, and process engineering.

• Qualify the product with innovative control measures to provide best in Class DPM and Cell reliability.

• Collaborate closely with Fab, NAND Technology, NAND Design, Product Development, System Development, and Quality/Reliability teams to develop solutions and enable shipment of high‑quality end products.

• Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.

• Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.

• Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business outcomes.

• Support customer inquiries and provide technical insights related to product reliability.

• Drive strategic initiatives to enhance the overall reliability program and influence the direction of future product development.

Qualifications And Skills:

• Bachelor’s degree  or Master’s degree  with of relevant experience in Electrical Engineering or related field

• Knowledge in Semiconductor Reliability, NAND Technology, and Electrical Failure Analysis.

• Understanding in Design, Device Physics, Circuits,  Process.

• Strong statistical analysis, communication, and problem‑solving skills.

• Experience with application of AI tools, LLMs ,  data analysis tools (e.g., Python, JMP, Tableau).

• Strong analytical and problem‑solving skills.

• Team player and self driver.

Why Micron

Micron is a global leader in memory and storage technology, delivering HBM,DRAM, NAND,  and NOR solutions that power the world’s data‑driven AI innovation. At Micron, you’ll work on technology that matters—alongside teams that value ownership, learning, and technical excellence.

Manages production support engineering for a specific product or group of products after transfer from design to high volume production. Interfaces with design, process, test and reliability engineering to solve problems. Sustains products with cost reduction and yield improvements.

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

• Prepare and analyze cost comparison
• Obtaining quotations, liaising and negotiate with sub-contractors and suppliers
• Responsible for measuring quantities and taking off
• Prepare Variation Orders, claims, final accounts, settlement and sub-contractor payments
• Strong understanding of construction and engineering principles.
• Proficiency in cost estimation and quantity takeoff techniques.
• Knowledge of relevant construction contracts and procurement processes.
• Analytical skills to evaluate and manage project costs effectively.
• Attention to detail to ensure accuracy in cost calculations and reporting.

REQUIREMENT /QUALIFICATION

• Degree / Diploma in Building or its equivalent
• 3 years and above experience as QS in main-con companies
• Good Pay + Good allowance + Good Bonus
• • Interested candidates please send an updated Resume / CV in Ms Word format to lilian@recruitflash.com or WhatsApp’s your resume to 98332779 ( no Calls)
• • Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

• Prepare and analyze cost comparison
• Obtaining quotations, liaising and negotiate with sub-contractors and suppliers
• Responsible for measuring quantities and taking off
• Prepare Variation Orders, claims, final accounts, settlement and sub-contractor payments
• Strong understanding of construction and engineering principles.
• Proficiency in cost estimation and quantity takeoff techniques.
• Knowledge of relevant construction contracts and procurement processes.
• Analytical skills to evaluate and manage project costs effectively.
• Attention to detail to ensure accuracy in cost calculations and reporting.

REQUIREMENT /QUALIFICATION

• Degree / Diploma in Building or its equivalent
• 3 years and above experience as QS in main-con companies
• Good Pay + Good allowance + Good Bonus
• • Interested candidates please send an updated Resume / CV in Ms Word format to lilian@recruitflash.com or WhatsApp’s your resume to 98332779 ( no Calls)
• • Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

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.

5 days, 8.30am to 5.50pm

Salary: $4000+/- (Engineer); $5500+/- (Senior Engineer)

Location: Bedok 

Job scope:

• Lead the design and development of PLC, SCADA, and control systems (e.g., Siemens, Rockwell, Schneider)
• Integrate hardware and software systems across multiple platforms
• Conduct Factory Acceptance Tests (FAT) and Site Acceptance Tests (SAT)
• Support site installation, commissioning, and system troubleshooting
• Collaborate closely with Project Managers, clients, and vendors
• Prepare and review engineering documentation and reports
• Prepare system architecture, control philosophies, and functional design specifications
• Design control panels, wiring diagrams, and I/O lists
• Ensure compliance with client specifications, industry standards, and regulatory requirements
• Configure communication protocols (e.g., Modbus, Profibus, Ethernet/IP, OPC)
• Perform software integration between various subsystems and third-party equipment
• Conduct internal testing and debugging of control systems
• Monitor engineering progress and ensure timely delivery of deliverables
• Coordinate with vendors, subcontractors, and clients on technical matters
• Propose improvements in system design, engineering practices, and workflows
• Mentor junior engineers and provide technical leadership

Requirements:

• Degree in Electrical Engineering, Automation, Mechatronics, or related field
• 5–8 years of experience in system integration / industrial automation
• Strong hands-on experience in PLC/SCADA programming and commissioning
• Familiar with industrial communication protocols (Modbus, Profibus, Ethernet/IP, OPC)
• Experience in control panels and instrumentation systems
• With valid class 3/3A license 

Kelly Chong Reg No:R26161160

The Supreme HR Advisory Pte Ltd EA No: 14C7279

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.

Position Summary:

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

Position Responsibilities:

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

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

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

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

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

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

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

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

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

Position Requirements:

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

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

• Strong ability to troubleshoot data-related issues effectively.

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

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

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

Preferred Experience/Education/Skills:

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

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

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

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

Job Description & Requirements

We are seeking an experienced Infrastructure Engineer to support and maintain enterprise infrastructure environments within a large-scale, mission-critical technology environment.

This role offers the opportunity to work on highly available enterprise systems, infrastructure modernization initiatives, and security-focused operations supporting critical business services.

Key Responsibilities

• Administer and support Windows Server environments across production and non-production systems
• Manage and maintain Active Directory, DNS, DHCP and Group Policy configurations
• Support VMware virtualization platforms and associated infrastructure services
• Perform server provisioning, patch management, vulnerability remediation and system hardening activities
• Provide L2/L3 infrastructure support and troubleshooting for enterprise systems
• Support backup, restoration, disaster recovery and business continuity activities
• Monitor infrastructure health and ensure operational stability and service availability
• Support infrastructure upgrades, technology refresh projects and operational improvements
• Prepare and maintain technical documentation, operational procedures and support records
• Work closely with internal stakeholders, project teams and technology vendors

Requirements

• Diploma or Degree in Information Technology, Computer Science or related discipline
• Experience supporting enterprise Windows infrastructure environments
• Strong knowledge of Windows Server, Active Directory, DNS, DHCP and VMware
• Experience with infrastructure operations, system administration and troubleshooting
• Exposure to patch management, vulnerability remediation and security hardening activities
• Experience with SCCM, WSUS, CyberArk, PowerShell or similar enterprise tools will be advantageous
• Familiarity with ITIL processes, incident management and change management practices
• Experience supporting healthcare, banking, public sector, government-linked or other regulated environments will be advantageous

Why Join

• Opportunity to support large-scale enterprise infrastructure environments
• Exposure to mission-critical systems and modern infrastructure technologies
• Stable long-term environment with ongoing technology investments
• Strong opportunities for technical development and career growth
• Collaborative engineering culture with exposure to enterprise best practices

How To Apply

Submit your application by emailing a detailed copy of your updated Resume in MS Word Format to Lin Jin Sen (EA Personnel Reg. No. R25129852, Achieve Career Consultant Pte Ltd EA Licence No. 05C3451) by clicking the “Apply Now” or email to andie.lin@achievegroup.asia for a confidential discussion.

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