Total 3,618 job vacancies in Singapore

Description:

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

Key Responsibilities:

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

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

Requirements:

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

Highlights

• No experience required as training provided 

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

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

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

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

Job Responsibilities

• Operate production equipment and support daily manufacturing activities

• Perform quality checks and report any abnormalities

• Complete production documentation and system transactions accurately

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

• Maintain good housekeeping and support continuous improvement activities
  

Requirements

• NITEC / Higher NITEC or equivalent

• Candidates with or without experience are welcome

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

• Comfortable working in a cleanroom environment

• Responsible, disciplined, and willing to learn

All the responsibilities we will trust you with:

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

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

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

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

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

Job Description:

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

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

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

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

Requirements:

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

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

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

·       Statistically inclined with good analytical & problem solving skills;

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

·       Familiar with IATF16949 requirement is a plus.

·       Willing to travel overseas

HOW TO APPLY:

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

We regret only shortlisted candidates will be notified.

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Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Lee Jia Xiang

EA Personnel Reg No: R25158171

Job Description:

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

Requirements:

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

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

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

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

About STMicroelectronics

At ST, we are 48,000 creators and makers of semiconductor technologies mastering the semiconductor supply chain with state-of-the-art manufacturing facilities. An integrated device manufacturer, we work with more than 200,000 customers and thousands of partners to design and build products,solutions, and ecosystems that address their challenges and opportunities, and the need to support a more sustainable world. Our technologies enable smarter mobility, more efficient power and energy management, and the wide-scale deployment of cloud-connected autonomous things. We are on track to be carbon neutral in all direct and indirect emissions (scopes 1 and 2), product transportation, business travel, and employee commuting emissions (our scope 3focus), and to achieve our 100% renewable electricity sourcing goal by the end of 2027.

Further information can be found at www.st.com

Key Responsibilities

1. Equipment Ownership & Performance

• Act as equipment owner for a defined set of CMP tools 
• Monitor OEE and uptime, define and drive actions to improve them.
• Analyze equipment alarms, and chronic issues; implement robust corrective and preventive actions.

2. Maintenance & Troubleshooting

• Define and optimize PM (Preventive Maintenance) plans and spare parts strategy.
• Support technicians in complex troubleshooting: mechanical, electrical, pneumatic, vacuum, robotics and software.
• Escalate and coordinate with equipment vendors (remote and on-site) for advanced technical support.

3. New Equipment Introduction & Upgrades

• Participate in specification, selection, installation and qualification of new CMP tools.
• Lead or support process and equipment release to production, including capability and stability checks.
• Manage equipment upgrades, retrofits, and obsolescence mitigation projects.

4. Process & Quality Support

• Work with process engineers to ensure that equipment performance meets process requirements 
• Support yield, quality, and reliability investigations from an equipment perspective
• Ensure equipment operation complies with quality systems (e.g. IATF 16949, ISO 9001, automotive standards where applicable).

5. Continuous Improvement & Industrial Efficiency

• Analyze data and KPIs; identify bottlenecks and chronic losses.
• Lead or participate in Lean/Six sigma/SMED activities for cycle time, cost, energy, and throughput improvements.
• Drive standardization of settings, PM procedures, troubleshooting guides, and documentation.

6. Safety, Environment & Compliance

• Ensure strict adherence to EHS rules (chemicals, slurry, gases, high voltage, vacuum, cleanroom, LOTO).
• Participate in risk assessments, FMEA, and implementation of safety interlocks and procedures.
• Maintain compliance with environmental and regulatory requirements (e.g. waste handling, emissions).

7. Documentation, Training & Knowledge Management

• Create and maintain equipment documentation: procedures, checklists, work instructions, recovery plans.
• Train and coach maintenance technicians on equipment usage and basic troubleshooting.
• Contribute to knowledge base and share best practices across shifts and sites.

Job Requirements:

• A Bachelor’s Degree in Mechanical, Mechatronics, Electrical & Electronics Engineering, Materials Science Engineering, Chemical Engineering or equivalent.
• Min 5 years of relevant work experience in CMP area, familiar with CMP Equipment (AMAT MirraMesa, Ebara F-REX200, Ontrak, etc.).
• Strong troubleshooting skills and deep technical knowledge.
• Knowledge of SPC, FMEA, 8D methodologies.
• Excellent communication, cross-functional collaboration abilities and written skills.
• Positive learning attitude with strong sense of responsibility.
• Strong ownership, a commitment and flexibility to support operational priorities
• Able to adapt in a fast paced environment and work under pressure.

about company

I am currently working with a software consultancy firm that provides premium software development and strategy expertise to a wide spectrum of clients. Projects related to Gaming/Gambling/Blockchain.

Base + AWS + variable bonus. Hybrid working, Friday WFH. Office at CBD.

about job (1 opening for Cloud Security Engineer, 1 opening for Lead level)

• Protects system by defining access privileges, control structures, and resources.

• Safeguards information system assets by identifying and solving potential and actual security problems.

• Recognizes problems by identifying abnormalities; reporting violations.

• Determines security violations and inefficiencies by conducting periodic audits.

• Consolidate root cause analysis of past pentest results.

• Upgrades system by implementing and maintaining security controls.

skills and requirements

• Min 3 years experience in AWS Cloud Security, Security Hub, Guard Duty, Inspector, etc.

• Strong understanding of SSDLC and security frameworks.

• Knowledge in OWASP Security Standards.

• In-depth knowledge of architecture, engineering, and operations of at least one enterprise IDS/IPS/SIEM platform.

• Hands on experience with vulnerability scanning and pentesting tools.

• Hands-on experience analyzing high volumes of logs, network data (e.g. Netflow, FPC), and other attack artifacts in support of incident investigations.

• Experience with IAM architectures and solutions including AD, RBAC, SSO, identity lifecycle management

• Mandarin speaking required as you need to liaise with Chinese counterparts who can only speak and write in Mandarin

To apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)

Software Engineer (Web Front-End) (React with TypeScript, NodeJS + Cloud Service Providers - AWS, Azure, or GCP)

As a Senior Software Engineer, you will be working on:

• Partner with software engineers and other functions to understand objectives for development delivery efficiency and system resiliency, helping them articulate how specific technical capabilities and best practices will achieve key business outcomes.

• Conduct comprehensive assessments of client's existing technical landscapes, workflows, and processes to identify inefficiencies, pain points, and gaps that hinder their goals.

• Collaborate with client to identify the most relevant practices (e.g., CI/CD, SRE) for using Core Engineering Products in achieving their goals, considering unique needs and industry best practices.

• Develop transition roadmaps that outline a clear path from the current state to the desired future state, including the adoption of recommended tools and processes.

• Explain complex concepts clearly to various client stakeholders, providing actionable recommendations for improving workflows and addressing their challenges, and providing supporting diagrams as needed.

• Support client with proof of concept (POC) initiatives to validate solutions, offering hands-on assistance during early implementation phases to enable smooth transitions to full-scale rollouts.

• Collaborate closely with fellow Software Engineers to exchange insights, share tools and scripts, and foster a collaborative environment that supports continuous improvement and knowledge sharing.

Qualifications

What we are looking for:

• 6+ years in an individual contributor software engineering role.

• Experience with NodeJs with TypeScript.

• Experience with one or more of Cloud Service Providers such as AWS, Azure, or GCP.

• Experience building cron jobs and scripts to run batch jobs.

• Experience with streaming data.

• Strong track record of successful large-scale partner solution implementations, preferably in complex enterprise environments

• Exceptional communication skills with ability to bridge technical discussions between internal teams and external partners

• Experience working in highly secured and air gap systems is a plus (i.e. banking, government systems and similar)"

We are seeking an expert Senior AI Infrastructure & Networking Engineer to lead the architecture, deployment, and optimization of our next-generation AI Factory. In this role, you will be responsible for building and scaling high-density GPU supercomputing clusters (up to 512+ nodes) featuring NVIDIA Blackwell UltraB300 systems. You will bridge the gap between heavy physical infrastructure (liquid cooling/busbar power) and advanced logical fabrics, ensuring predictable, line-rate, and lossless transport for massive generative AI training and reasoning workloads.

Key Responsibilities

• AI Fabric Architecture & Deployment: Design, build, and optimize high-throughput, ultra-low-latency East-West compute networks using NVIDIA Spectrum-X Ethernet platforms (Spectrum-4 ASICs) and/or NVIDIA Quantum-X800 InfiniBand switching.
• Performance Tuning for Lossless Networking: Configure and fine-tune critical Layer 2/3 lossless transport mechanisms, including Remote Direct Memory Access over Converged Ethernet (RoCE v2), Priority Flow Control (PFC), Explicit Congestion Notification (ECN), and DCQCN.
• Rail-Optimized Topologies: Implement and maintain non-blocking, multi-plane, full fat-tree network topologies mapped to 8-GPU server architectures to maximize collective communication performance via NCCL (NVIDIA Collective Communications Library).
• SmartNIC & DPU Management: Deploy and manage high-speed compute network interfaces, including ConnectX-8 SuperNICs (800 Gb/s) and BlueField-3 DPUs for isolated infrastructure management, storage acceleration, and multi-tenant security.
• Full-Stack Orchestration & Automation: Drive infrastructure-as-code deployments using Ansible and Terraform. Initialize and monitor the NVIDIA Network Operator within core Kubernetes orchestration layers.
• Telemetry & Validation: Utilize deep network telemetry tools such as NVIDIA NetQ and "What Just Happened" (WJH) to stream real-time switch diagnostics. Conduct line-rate cluster benchmarking using ib_write_bw and ib_write_lat to eliminate physical layer bottlenecks.
• Cross-Functional Infrastructure Alignment: Collaborate closely with data center facility teams on high-density environment metrics (~15–20 kW+ per rack, liquid-cooled rows, Coolant Distribution Units (CDUs), and Rear Door Heat Exchangers). Ensure operational verification aligns with international standards (e.g., IDCA G-Grade or Uptime Institute).

Required Technical Skills &Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Network Engineering, Systems Engineering, or a related technical discipline.
• AI Networking Expertise: Proven track record of configuring RoCE v2, adaptive routing, and traffic optimization specifically for machine learning/HPC workloads.
• Hardware Familiarity: Deep understanding of high-density scale-up and scale-out systems (NVIDIA HGX/DGX architectures, PCIe switching, OSFP/QSFP112 optical and copper assemblies).
• Software & Cluster Management: Experience with cluster deployment suites like NVIDIA Mission Control, Base Command Manager, Run:ai, or similar enterprise MLOps frameworks.
• Routing Protocols: Strong proficiency with advanced datacenter networking protocols, particularly eBGP IPv6 unnumbered underlays and EVPN/VXLAN overlays for multi-tenant isolation.
• Cabling & Layer 1 Validation: Experience managing complex structured fiber trunking (MPO-12/MPO-24 APC) and executing layer-1 diagnostics (ibdiagnet, iblinkinfo).

Preferred Certifications

• NVIDIA Certified Professional - AI Networking (NCP-AIN) (Highly Preferred)
• NVIDIA Certified Expert - Cloud End-to-End Fabric (NCE-CEF)
• Advanced networking tracks from major vendors (e.g., CCIE, JNCIE, or Nokia Service Routing Architect) combined with proven data center fabric experience.

What We Offer

• Opportunity to work with first-of-its-kind, world-class AI supercomputing technologies (NVIDIA Blackwell Ultra).
• High-impact role shaping the foundational architecture for enterprise generative AI and large-scale LLM initiatives.
• Competitive salary, comprehensive benefits package, and continuous learning paths for advanced AI operations certifications.

Responsibilities:

• Provide 1st and 2nd level IT support including desktop related technical assistance via telephone, ticket system, emails and instant chat messaging tool, etc.
• Troubleshooting and resolving single customer issues with Windows
• Supporting Microsoft Office, Exchange, VPN, SharePoint, and User Client Hardware, Mobile devices, user accounts and permissions.
• Using remote administration tools to resolve issues on desktops, laptops, and printers.
• Update policies, procedure, and documentation relevant to project or operation
• Ensure compliance with standards, policies, and processes
• Ensure all Asset and Inventory up to date and accurate in system
• Follow KPI defined by company and team leader

Job requirements:

• A Minimum of 3 years of desk side work experience in large enterprise companies
• A minimum Diploma in computer science or equivalent experience in IT
• Strong knowledge in User & VIP Support and ITIL methodology
• Familiar with Mac and Window OS system
• Able to work under pressure, self-motivated, strong problem solving and analytical skills
• Strong data analytic, communication & interpersonal skills
• MCP and/or Apple Technician (MacOS) certified is advantageous

Interested candidate please click "APPLY" to begin your job search journey.

We regret to inform that only shortlistedcandidates will be notified.

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PERSOL Tech Services Pte Ltd
UEN No. 202233837K

We are a fast growing electronic components and semiconductor distribution company, headquartered in Singapore with customers in Indonesia, Thailand, Singapore, China and India. We are a distributor for over 40 large MNCs and play a vital role in the supply chain of electronics manufacturers all over Asia.

We are looking for below candidates with prior experience in electronic components/semiconductors industries who want to join a fast-paced environment with lots of opportunity for growth and learning.

Field Application Engineer – Singapore

Job Profile

• Provide Technical design and support to customers to enable sale of our products
• Strategize customer engagements with sales and marketing team
• Demonstrate demo's, interface with supplier engineering team and visit customers to help them troubleshoot problems
• Develop excellence in certain product areas in order to act as product expert for customers

Job Requirements

• Candidate must possess at least a Bachelor's Degree, Engineering (Electrical/Electronic) or equivalent.
• At least 3 year(s) of working experience in the related field is required for this position.

We are seeking an expert Senior AI Infrastructure & Networking Engineer to lead the architecture, deployment, and optimization of our next-generation AI Factory. In this role, you will be responsible for building and scaling high-density GPU supercomputing clusters (up to 512+ nodes) featuring NVIDIA Blackwell UltraB300 systems. You will bridge the gap between heavy physical infrastructure (liquid cooling/busbar power) and advanced logical fabrics, ensuring predictable, line-rate, and lossless transport for massive generative AI training and reasoning workloads.

Key Responsibilities

• AI Fabric Architecture & Deployment: Design, build, and optimize high-throughput, ultra-low-latency East-West compute networks using NVIDIA Spectrum-X Ethernet platforms (Spectrum-4 ASICs) and/or NVIDIA Quantum-X800 InfiniBand switching.
• Performance Tuning for Lossless Networking: Configure and fine-tune critical Layer 2/3 lossless transport mechanisms, including Remote Direct Memory Access over Converged Ethernet (RoCE v2), Priority Flow Control (PFC), Explicit Congestion Notification (ECN), and DCQCN.
• Rail-Optimized Topologies: Implement and maintain non-blocking, multi-plane, full fat-tree network topologies mapped to 8-GPU server architectures to maximize collective communication performance via NCCL (NVIDIA Collective Communications Library).
• SmartNIC & DPU Management: Deploy and manage high-speed compute network interfaces, including ConnectX-8 SuperNICs (800 Gb/s) and BlueField-3 DPUs for isolated infrastructure management, storage acceleration, and multi-tenant security.
• Full-Stack Orchestration & Automation: Drive infrastructure-as-code deployments using Ansible and Terraform. Initialize and monitor the NVIDIA Network Operator within core Kubernetes orchestration layers.
• Telemetry & Validation: Utilize deep network telemetry tools such as NVIDIA NetQ and "What Just Happened" (WJH) to stream real-time switch diagnostics. Conduct line-rate cluster benchmarking using ib_write_bw and ib_write_lat to eliminate physical layer bottlenecks.
• Cross-Functional Infrastructure Alignment: Collaborate closely with data center facility teams on high-density environment metrics (~15–20 kW+ per rack, liquid-cooled rows, Coolant Distribution Units (CDUs), and Rear Door Heat Exchangers). Ensure operational verification aligns with international standards (e.g., IDCA G-Grade or Uptime Institute).

Required Technical Skills &Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Network Engineering, Systems Engineering, or a related technical discipline.
• AI Networking Expertise: Proven track record of configuring RoCE v2, adaptive routing, and traffic optimization specifically for machine learning/HPC workloads.
• Hardware Familiarity: Deep understanding of high-density scale-up and scale-out systems (NVIDIA HGX/DGX architectures, PCIe switching, OSFP/QSFP112 optical and copper assemblies).
• Software & Cluster Management: Experience with cluster deployment suites like NVIDIA Mission Control, Base Command Manager, Run:ai, or similar enterprise MLOps frameworks.
• Routing Protocols: Strong proficiency with advanced datacenter networking protocols, particularly eBGP IPv6 unnumbered underlays and EVPN/VXLAN overlays for multi-tenant isolation.
• Cabling & Layer 1 Validation: Experience managing complex structured fiber trunking (MPO-12/MPO-24 APC) and executing layer-1 diagnostics (ibdiagnet, iblinkinfo).

Preferred Certifications

• NVIDIA Certified Professional - AI Networking (NCP-AIN) (Highly Preferred)
• NVIDIA Certified Expert - Cloud End-to-End Fabric (NCE-CEF)
• Advanced networking tracks from major vendors (e.g., CCIE, JNCIE, or Nokia Service Routing Architect) combined with proven data center fabric experience.

What We Offer

• Opportunity to work with first-of-its-kind, world-class AI supercomputing technologies (NVIDIA Blackwell Ultra).
• High-impact role shaping the foundational architecture for enterprise generative AI and large-scale LLM initiatives.
• Competitive salary, comprehensive benefits package, and continuous learning paths for advanced AI operations certifications.

• Working Days: Mon- Fri 9am-6pm, Saturday 9am-1pm
• Location: Defu (Nearest Kovan MRT)
• Salary: $2800 to 3500

Job Scope:

• Read and draw circuit diagrams
• Wiring, soldering, and basic assembly work
• Work with sensors, motors, and solenoid valves
• Support PLC and basic PC programming (e.g. C#)
• Assist in testing, troubleshooting, and project implementation
• Willing to work in a cleanroom environment

Requirements:

• Diploma/Degree in Electrical & Electronics or related field
• Basic knowledge of electronics and automation systems
• Training Provided