Total 2,008 Senior Executive job vacancies

Who are we?

Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet. 

A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future.

Joining our operations team means being at the center of everything – maintaining and evolving critical infrastructure that powers the digital world and delivers real impact for our customers, communities and society. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work.

Job Summary

A senior, highly skilled specialist responsible for ensuring the reliability, availability, and safe operation of mission‑critical data center infrastructure through advanced controls and automation systems. The Senior Critical Facilities Engineer (Controls) applies deep expertise in BMS, control systems, and system integration to monitor, optimize, and stabilize critical facilities operations. This role operates with a high degree of independence within standard operating procedures and supports operational excellence by improving system behavior, alarm management, and control logic across the site.

Responsibilities

Facility / Infrastructure Maintenance

• Performs specialized preventive and corrective maintenance with a focus on controls, automation, and monitoring layers supporting critical facilities systems.
• Acts as a technical authority for Building Management Systems (BMS), DCOS, and associated control platforms, ensuring reliable monitoring and control of power, cooling, and life‑safety systems.
• Monitors and analyzes complex alarms, trends, and events within the BMS, independently resolving issues related to control logic, system behavior, and signal integrity.
• Leads investigation of abnormal system behavior, including false alarms, control sequence failures, sensor drift, and communication faults, recommending corrective actions.
• Supports control system interfaces across mechanical and electrical systems (e.g. chillers, CRAH/CRACs, generators, UPS interfaces), working closely with Electrical and Mechanical CF teams.
• Reviews, validates, and optimizes alarm configuration, thresholds, and escalation logic to reduce noise and improve incident response effectiveness.
• Supports configuration, testing, and validation of control strategies during maintenance windows, system upgrades, or commissioning activities.
• Implements and supports energy efficiency and optimization initiatives through improved control strategies, setpoint tuning, and automated response mechanisms.
• Works on assignments requiring significant judgment and initiative, fully understanding how controls failures or misconfigurations can impact customer infrastructure, availability, and SLAs.

Vendor Support

• Acts as the primary technical interface for controls and BMS vendors, integrators, and service providers.
• Reviews and validates vendor proposed control logic, graphics, and sequences of operation to ensure alignment with site standards and operational intent.
• Assists with the creation, review, and approval of Maintenance Operation Protocols (MOPs) and scripts related to control system changes.
• Oversees vendor execution during controls‑related maintenance, system upgrades, or retrofits, including pre‑work briefings, live supervision, and post‑work validation.
• Ensures control system documentation, network diagrams, point lists, and as‑built records are maintained accurately.

Site Administration & Incident Support

• Prepares and maintains specialized documentation for control system operations, alarm management, and automated response mechanisms.
• Identifies Single Points of Failure (SPOFs) and systemic risks within the controls and monitoring layer and recommends architectural or configuration improvements.
• Responds to on‑site incidents involving BMS failures, alarm floods, loss of visibility, or automation defects, providing controls expertise during restoration.
• Leads or contributes to Root Cause Analysis (RCA) related to controls, automation, or monitoring system failures.
• Supports on‑site teams during incidents by providing control‑system insight, diagnostic guidance, and decision support.
• Ensures controls‑related procedures, alarm management policies, and change processes are followed consistently during normal operations and incidents.

Work Orders & Additional Projects

• Completes skilled work requests related to control system changes, monitoring enhancements, and automation improvements.
• Supports commissioning, re‑commissioning, and control validation activities for new or modified infrastructure.
• Implements approved changes to controls logic, alarm strategies, and system interfaces in support of operations and improvement initiatives.
• Executes and supports complex controls‑focused projects, including BMS upgrades, platform migrations, and integration of new plant systems.
• Supports life‑cycle management and end‑of‑life replacement of controls hardware, networks, and software platforms.
• Recommends controls and automation improvement projects based on operational data, incident trends, and system performance.

Collaboration

• Collaborates closely with Electrical, Mechanical, Operations, Security, and IT teams to ensure controls systems accurately reflect facility behavior and operational needs.
• Acts as a technical mentor for engineers in the areas of BMS usage, alarm interpretation, and control system troubleshooting.
• Works with stakeholders to forecast controls‑related spare parts, licensing, and system capacity requirements.
• Serves as a senior controls subject‑matter expert during incidents, complex changes, and multi‑discipline projects.

Qualifications

• Proven experience supporting controls, BMS, automation, or monitoring systems in mission‑critical environments such as data centers, smart buildings, utilities, or industrial facilities.
• Diploma or Degree in Controls Engineering, Electrical Engineering, Mechanical Engineering, Automation, or Building Services Engineering preferred.
• Hands‑on experience with BMS / DCOS platforms, PLC‑based systems, alarm management strategies, and system integration is highly desirable.

Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer.  All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law. 

[Job ID: 1471592]

About the Role:

We are looking for a driven and personable Sales Engineer to join our growing team. In this role, you will manage the full sales cycle—from site visits to deal closure—while building lasting relationships with clients in the engineering and industrial sector. Full technical training will be provided, making this an excellent opportunity for sales professionals who are eager to learn and grow.

Responsibilities:

• Manage end-to-end sales process, including client meetings, site visits, and project follow-ups
• Provide sales support with basic technical guidance (training provided)
• Generate new business from both existing accounts and new projects/tenders
• Leverage company-provided leads to expand your pipeline
• Meet and exceed annual sales KPIs

Requirements:

• Strong interpersonal and communication skills
• Basic understanding of mechanical engineering concepts (training available)
• A “farmer” mindset—focused on nurturing long-term client relationships
• Positive, proactive working attitude
• Valid driving license required (company car provided)
• Candidates with own transport will receive a monthly allowance of $800

We regret that only shortlisted candidates will be notified. However, rest assured that all applications will be updated to our resume bank for future opportunities.

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EA Personnel Name: Cesky Ong Zhi Rong

EA Personnel Registration Number: R24121422

EA License No.: 07C5771

Job Responsibilities:

• Plan, execute, monitor, and control all technical aspects of projects.
• Lead or contribute to new system/network infrastructure setups or upgrades.
• Support operational systems in line with contractual Service Level Agreements (SLAs).
• Conduct routine preventive maintenance and manage operational activities efficiently.
• Prepare comprehensive project documentation and reports.
• Troubleshoot and resolve technical issues promptly.

Requirements:

• Strong knowledge of Windows Server OS and Linux OS; experience in virtualized environments is a plus.
• Hands-on experience with virtualization, hypervisors, and the Nutanix platform is an advantage.
• Understanding of VPNs and firewall appliances is beneficial.
• Familiarity with network switches and routers is preferred.
• Excellent written and verbal communication skills to articulate technical concepts to both technical and non-technical stakeholders.
• Proactive, dynamic, and analytical with strong conceptual thinking abilities.
• Able to work independently and collaboratively, with strong interpersonal skills.

Work Location: North / Central

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

Only shortlisted candidates will be notified.

Responsibilities: 

• Develop and optimize unit processes to meet the yield and quality requirements of advanced NAND part type 

• Quantify benefits of innovative process and/or equipment solutions to enable early experimentation and adoption for process margin improvement Prioritize within Singapore based manufacturing Wet Etch team on the key technology issues that need TD breakthroughs. 

• Integrate and troubleshoot processes as part of cross-functional teams driving yield and quality improvement Participate with Boise TD Wet Etch peers on technology choices for the upcoming nodes and able to translate future technology device needs into clear process requirements 

• Process development will include performing fundamental research, hardware evaluations, as well as testing processes for novel applications and generating intellectual property relevant to Micron. 

• Initiate and manage experiments to widen process margins as well as to test out manufacturability of next node solutions 

• Identify process simplification opportunities and drive cross functional teams in implementation Incorporate best known manufacturing methods into early development phase of upcoming nodes. 

• Design and implement advanced process monitoring and control methodologies. 

• Serve as a technical expert within Micron contributing to technical projects for improvements to processes, procedures and equipment. 

• Lead team or sites or suppliers on complex, multi-disciplinary projects in quality focused meetings, process and yield improvement meetings, cost and productivity improvement meetings 

• Provide advice and counsel to management on significant technical issues. Leads and initiate innovation projects through patents/technical papers. 

• This position requires communication and collaboration with partners both locally and globally. 

• Strict adherence to Micron Intellectual Property protection policy is a must. 

• Be part of the continuous worldwide TD engagement with suppliers pushing for breakthrough solutions. 

Requirements: 

• Masters/PhD graduates in Materials Science, Chemical/Microelectronic Engineering or Chemistry are welcome to apply. 

• 2-3 years of semiconductor industry experience is preferable 

• A deep understanding of chemistry, chemical kinetics, thermodynamics and mass transport 

• Basic understanding of films and interface engineering and analysis techniques thereof – SIMS, XPS, EDX, SEM/TEM, FTIR. Understanding of various integration and structural impacts and constraints related to wet etch processes. 

• An understanding of the general process steps and process flow for memory processing, planar and vertical NAND memory in particular. 

• Working knowledge of data analysis systems e.g.: Y3 to facilitate analysis of experimental data 

• Working knowledge of Design of Experiments (DoE) Proven ability to collaborate with local and overseas teams on projects 

• Excellent oral and written communication skills with ability to convey the message in concise and effective manner both in local as well as remote communications. 

• Ability to be a self-motivated individual and be adaptable to Micron’s changing needs in terms of working extended hours, if required Proven ability to work in a demanding & dynamic environment and able to prioritize and manage multiple projects simultaneously 

• Ability to travel for extended periods of time and stay at Boise TD for 2-4 months at a stretch to work on technology development. 

• Demonstrates the ability in applying AI tools to enhance workflows, improve efficiency, and support data-informed decision across team and projects

Step into a career with ASM, where cutting edge technology meets collaborative culture. ​

For over 55 years ASM has been ahead of what’s next, at the forefront of innovation and what’s technologically possible. With more than 4,500 ASMers representing 70 nationalities, our people and our advanced semiconductor devices are playing a crucial role in trends such as 5G, cloud computing, AI, and autonomous driving.  But we’re more than just a tech company. We value diversity, inclusion and sustainability as we strive to make a positive impact on the world.  Our development programs help support your growth, shaping your future and pushing the boundaries of innovation to unleash potential.  

Job's mission

Join ASM’s Advanced Packaging team and lead the design and development of next-generation semiconductor process equipment. In this role, you will shape system architecture, drive automation strategies, and collaborate across functions to deliver innovative solutions. Your expertise will ensure projects meet the highest standards of safety, quality, and performance.

What you will be working on

• Lead design and development of semiconductor vacuum systems, including equipment selection, process controls, and automation integration.
• Develop and implement automation strategies using PLCs, SCADA, and related tools to optimize efficiency.
• Manage project timelines, budgets, and resources while ensuring compliance with safety and quality standards.
• Collaborate with cross-functional teams in manufacturing, operations, and quality to align on goals and deliverables.
• Provide technical support and troubleshooting for equipment and automation systems, driving root cause analysis and resolution.
• Own BOM release and maintenance, ensuring accurate documentation and reporting for stakeholders.
• Drive continuous improvement initiatives and stay current with industry trends and emerging technologies.
• Apply engineering principles and research data to create designs for semiconductor systems and products.
• Perform engineering calculations for structural, thermal, and fluid dynamics challenges.
• Create and revise CAD models and detailed drawings using Creo Parametric for components and assemblies.
• Prepare comprehensive design documentation for manufacturing and testing of prototypes and production products.

What we are looking for

• Bachelor's, Master’s or PhD in Mechanical Engineering or related field.
• Minimum 8 years of experience in semiconductor equipment design, development, and automation.
• Expertise in complex mechanical systems such as reactors, vacuum chambers, gas delivery systems, pneumatics, and cooling circuits.
• Strong analytical and problem-solving skills with ability to lead innovative design concepts.
• Experience with PLC programming and revision control tools such as Git.
• Ability to work independently and collaboratively in a team environment.

What sets you apart

• Experience with semiconductor capital equipment and metal deposition products.
• Knowledge of CE, NFPA, Semi S2-95, and other relevant standards for semiconductor manufacturing equipment.
• Familiarity with materials including metals, plastics, coatings, and finishes.
• Proficiency in Microsoft applications, CREO, and AutoCAD.
• Knowledge of ASME Y14.5 and/or ISO 1101:2017 geometric dimensioning and tolerancing.
• Strong communication skills to present design concepts effectively to peers and management.
• Ability to manage multiple priorities and meet aggressive deadlines while maintaining quality standards.

Apply today to be part of what’s next.

We make the tech that enables the chips in devices which improve lives around the world. We do this with an eye to the future, pushing the boundaries of what’s possible through cutting-edge innovation, and driving the next wave of technological breakthroughs that shape how we live, work, and connect.

To learn more about ASM, find us at asm.com and on LinkedIn, Facebook, Instagram, X and YouTube.

ASM is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, age, nationality, social or ethnic origin, sexual orientation, gender, gender identify or expression, marital status, pregnancy, political affiliation, disability, genetic information, veteran status, or any other characteristic protected by law.

Job Responsibilities:

Relationship and Account Management

• Building Client Relationships: Developing trust with prospective and existing buyers to understand their long-term business needs.

• Providing Customer Service: Acting as the primary point of contact for client queries, resolving complaints, and ensuring high levels of satisfaction. This role includes participation in a 24/7 customer support on-call rotation as part of the team.

• Managing After-Sales Support: Conducting follow-up calls to ensure customers are happy with their purchase, which often leads to repeat business or referrals.

Generating Leads and Prospecting

• Identifying potential customers through research and customer visits.

• Presenting and Demonstrating Products: Tailoring pitches and live demonstrations to show how a product or service solves a specific prospect's problems.

• Negotiating and Closing Deals: Handling objections and negotiating terms, pricing, and contracts to reach mutually beneficial agreements while protecting company margins.

• Meeting Sales Targets: Consistently striving to meet or exceed specific monthly, quarterly, or annual revenue quotas set by management.

Strategic and Administrative Tasks

• Conducting Market Research: Monitoring competitor pricing, products, and industry trends to refine sales strategies and identify new opportunities.

• Maintaining CRM Systems: Accurately logging all client interactions, sales figures, and pipeline updates in software like Salesforce or HubSpot.

• Producing Sales Reports: Creating regular performance reports and forecasting future sales progress for senior management.

• Liaising with Internal Teams: Collaborating with technical and finance to align messaging and ensure order fulfillment.

Job Requirements:

• Bachelor’s degree in Business, Marketing, or related field (preferred but not mandatory).

• Proven track record in sales, preferably in Marine or related industry.

• Strong communication, negotiation, and interpersonal skills.

• Ability to work independently and as part of a team.

• Goal-oriented mindset with resilience and adaptability.

• Proficiency in MS Office and CRM tools.
  

HOW TO APPLY:

Interested applicants, kindly send your resume in MS WORD format or please click on “Apply Now”.

We regret only shortlisted candidates will be notified.

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EA License No: 19C9950

EA Personnel: Lee Jun Siong (Johnson)

EA Personnel Reg No: R24120242

• 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

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.

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

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.

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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.

Equal Opportunity Statement

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Cessation Of Collection Of Full NRIC Numbers: In compliance with the Personal Data Protection Act and commitment to protect candidates’ personal data, Achieve Group will cease to collect, process or use full NRIC numbers during our screening and job application process. Kindly ensure your resumes provided to us does not contain your full NRIC number and full home address during your job application. We regret that only shortlisted candidates will be notified.