Total 13,662 network engineer job vacancies

Job Summary

Demonstrate and provide technical support for products, install and maintain engineering systems, and manage pre- and post-sales activities to enhance customer engagement and ensure operational excellence.

Responsibilities

• Demonstrate products and provide technical support to the sales team to improve customer understanding and boost sales effectiveness
• Set up and install systems, conduct testing and commissioning to ensure systems are fully operational
• Troubleshoot and repair engineering equipment to maintain optimal performance and reduce downtime
• Perform routine preventive maintenance to extend equipment lifespan and ensure reliability
• Monitor equipment operation and maintain engineering equipment to meet quality standards
• Prepare detailed reports and data documentation following setup, installation, or servicing activities to support decision-making
• Execute additional duties assigned by superiors to support team and organizational objectives

Preferred competencies and qualifications

• ITE or Diploma in Electrical & Electronic, Mechatronic, Mechanical or equivalent
• 1 to 2 years of relevant work experience

What you will do:

• Overall responsibility to overlook site installation in terms of quality, technical compliance and meeting project schedule and works safety.

How you will do it:

• Handle day to day operation, project delivery and logistics, construction sequence and constructability

• To manage, control and supervisor subcontractors/vendors performing the works on site to ensure it meet quality & schedule requirements and installed items are as per approved drawings and design intent.

• Support during testing and balancing

• Meeting up with clients to manage complains and issues on site, variation order scopes etc.

• Material incoming receipt, quantity and quality checking and inspection

• Co-ordinate with client representative and QA/QC staff pertaining to Validation activities where required.

What we look for:

• Relevant qualification preferably in mechanical engineering

• Minimum 3 years working experience in Semiconductor construction project, particularly in HVAC Wet/Dry or Process Exhaust

• Extensive project execution experience/know how

• Oversee permit applicant process

• Committed to complete given tasks on time, ability to work independently and taking ownerships and responsibilities on tasks that had been assigned to you.

• Self-motivated and open minded with passion to challenge status quo and drive for continuous improvement

• Process good communication and interpersonal skills

Job Description:

• Conduct cutting-edge research in the field of recommendation & search, natural language processing and deep learning &LLM.
• Develop AI-enabled products and services with other groups in the company
• Collaborate with world-class organizations in academia projects

Skills / Qualifications:

• Possess a Master’s degree or PhD degree in computer science, statistics, applied mathematics, or have equivalent research experiences
• Demonstrate the ability to generate new ideas
• Have 3 years of academic or industrial working experiences in recommendation & search, natural language processing, deep learning, machine learning, or related fields
• Have strong programming skills, experienced in one or more programming languages including but not limited to: C/C++, Java, Python

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

We regret to inform that only shortlisted candidates will be notified.

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PERSOL Singapore Pte Ltd

•RCB No. 200007268E • EA License No. 01C4394

•Registration ID: Heah Sian Wei R23117518

Data Engineer

Roles &Responsibilities

We are seeking Data Engineer to establish and lead our data infrastructure. The successful candidate will be responsible for building our data engineering practice from the ground up, implementing robust data systems for industrial AI applications, and establishing best practices that will power our semiconductor manufacturing AI solutions.

About Innowave Tech Singapore

Innowave Tech is an Artificial Intelligence (AI) company offering solutions for the Semiconductor and Advanced Manufacturing industry. Utilizing deep industrial domain knowledge, proven experience, and innovation, we provide expert AI solutions and systems to address various industry pain points.

CLT Programme Overview

This role is part of a structured Company-Led Training (CLT) Programme designed to accelerate capability development in data engineering, AI, and industrial data applications.

Selected candidates will undergo structured On-the-Job Training (OJT), supported by real-world projects, mentorship, and targeted training courses. Participants will gain hands-on experience in building data infrastructure, developing ETL pipelines, managing industrial datasets, and supporting AI/ML and LLM applications within advanced manufacturing environments.

This programme equips participants with practical skills in data governance, data platforms, and secure deployment practices to support industrial AI solutions in the semiconductor and advanced manufacturing industries.

Your Role and Impact

As our Data Engineer, you will have a foundational role in building robust data infrastructure to handle manufacturing data and LLM applications, while establishing secure data practices that power our AI solutions for advanced manufacturing operations.

What You’ll Do

1.      Select and manage on-premises technologies suitable for secure and efficient operations.

2.      Build robust pipelines to collect, clean, and transform diverse datasets including process data, sensor data, image data, and human annotations.

3.      Ensure secure, maintainable, and scalable deployment of data infrastructure.

4.      Define and enforce best practices in data governance, privacy, and access control.

5.     Collaboration & Deployment.

What We’re Looking For

* Educational Background:

·      Minimum Poly or Bachelor Degree in Computer Science, Engineering, or a related field.

·      Only Singaporean, Singapore PR can apply due to project requirements.

* Technical Expertise:

• 3+ years of experience in data engineering roles, ideally with on-premises or hybrid infrastructure.
• Proven track record of building scalable data systems from ground up in a startup environment.
• Proficiency in Python and/or Java for data pipeline development.
• Solid experience with ETL frameworks (e.g., Apache Airflow, Dagster) and streaming systems (e.g., Kafka).
• Experience designing and maintaining SQL and NoSQL databases.
• Experience building and operating data lakes and data catalog.
• Familiarity with containerization (Docker), version control (Git), and CI/CD practices.

* Soft Skills:

• Excellent communication skills and ability to collaborate with cross-functional technical and non-technical teams.
• Excellent problem-solving and debugging abilities.
• Ability to balance engineering tradeoffs.

* Bonus Skills:

• Experience with manufacturing data systems, especially SPC, SCADA, and industrial sensor protocols (e.g., OPC UA, MQTT, Modbus).
• Familiarity with AI/ML pipelines and tools (e.g., ML flow).
• Knowledge in vector databases and LLM data infrastructure.
• Prior experience working in or with regulated industries (e.g., semiconductor, automotive, aerospace).

Job Description

At Lonza Singapore, you will play a key role in ensuring that our manufacturing facilities, systems, and equipment meet the highest standards of quality and compliance. This is an exciting opportunity to contribute to a GMP biotech environment where your work supports the safe and reliable manufacture of life-changing medicines.

What you will get:

• An agile career with opportunities to grow your validation and engineering expertise.

• An inclusive, ethical, and safety-first workplace.

• A dynamic site environment supporting advanced biotech manufacturing.

• Collaboration with experienced engineering, quality, and operations teams.

• Compensation programs that recognize performance and contribution.

• Fully paid medical insurance, with options to enroll family members at subsidized rates.
  

What you will do:

• Support validation activities for facilities, equipment, utilities, computer systems, cleaning, and sterilization.

• Develop and execute validation protocols and reports in line with approved procedures.

• Collaborate with engineering, quality, and end users to deliver validation activities as planned.

• Support commissioning activities and site change implementations when required.

• Review engineering documentation related to commissioning and validation activities.

• Participate in site validation maintenance programs and inspection readiness activities.

• Uphold data integrity principles and identify opportunities for continuous improvement.

What we are looking for:

• A bachelor’s degree in an engineering discipline or a related field.

• Experience or exposure to validation activities in a GMP manufacturing environment.

• Understanding of regulatory expectations and validation principles.

• Ability to collaborate effectively across engineering, quality, and operations teams.

• Clear written and verbal communication skills.

• A proactive mindset with attention to detail and quality.

• Willingness to learn, adapt, and grow in a regulated biotech environment.

At Lonza, our people are our greatest strength. With 30+ sites across five continents, our globally connected teams work together every day to manufacture the medicines of tomorrow. Our core values of Collaboration, Accountability, Excellence, Passion and Integrity reflect who we are and how we work together. Everyone’s ideas, big or small, have the potential to improve millions of lives, and that’s the kind of work we want you to be part of.

Innovation thrives when people from all backgrounds bring their unique perspectives to the table. At Lonza, we value diversity and are committed to creating an inclusive environment for all employees. If you’re ready to help turn our customers’ breakthrough ideas into viable therapies, we look forward to welcoming you on board.

Ready to shape the future of life sciences? Apply now.

Job Summary

We are seeking motivated Application Engineers to develop and deliver application solutions across ABI, SLT, and ATE platforms for our customers, primarily in Asia and the USA. You will work closely with cross-functional teams to define technical requirements, drive project execution, and ensure successful deployment and sustainment of solutions.

Key Responsibilities

• Develop and implement application solutions for ABI, SLT, and ATE platforms 
• Gather and define customer technical requirements, including scoping and quotation support 
• Collaborate with the Engineering and Production Centers to ensure timely and high-quality delivery 
• Manage application board design, development, assembly, and validation 
• Develop, debug, and validate test programs in accordance with customer specifications 
• Lead solution release, customer acceptance, and production roll-out activities 
• Provide sustaining engineering support to ensure long-term performance and reliability 
• Coordinate cross-functional teams and stakeholders to drive successful project delivery

Requirements

• Bachelor’s Degree in Electronics Engineering or a related discipline 
• Minimum 5 years of relevant experience in application engineering, test development, or related field 
• Good understanding of analog and digital electronics, metrology, and semiconductor test processes 
• Experience in project management, including resource planning, budgeting, and reporting 
• Strong communication and interpersonal skills; able to operate effectively in an international environment 
• Fluent in English (spoken and written) 
• Prior experience in Semiconductor industry, ATE, ABI, or SLT environments would be an advantage

Optional:

• Exposure to customer-facing or field application roles 
• Experience working in global or matrix organizations 
• Willingness to travel for customer support and deployment
  

Ethos Search Associates Pte. Ltd.

EA License No: 13C6655

EA Reg No: R1765450 Pinky Lim (Lim Lee Phing)

About InterOpera

InterOpera is pioneering intelligence infrastructure to eliminate key enterprise pain points, driving cost efficiency, profitability, and scalable growth. Through our real-time decision-making capabilities, we empower clients to identify challenges, generate actionable insights, implement solutions, and track outcomes to ensure sustained success. Our solutions span sales optimization, risk management, and energy efficiency, helping businesses harness data-driven strategies and seamless automation to enhance operational resilience and long-term value creation.

We're looking for a Senior Software Engineer, AI-Native Enterprise Platform who is passionate about building production-grade AI systems, thrives in a fast-paced startup environment, and wants to shape the future of enterprise decision-making through agentic AI, RAG, and modern software engineering. We’d love to hear from you.

Responsibilities

AI-Native Product Engineering

• Architect and ship production-grade multi-step AI agents with planning, memory, and tool usage capabilities to automate enterprise workflows

• Design, build, and operate Retrieval-Augmented Generation (RAG) pipelines over proprietary enterprise datasets

• Evaluate, deploy, and optimize small/specialized LLMs (sLLMs), including self-hosted deployments for cost efficiency, latency optimization, and data residency requirements

• Develop evaluation frameworks to measure AI performance, including faithfulness, hallucination rates, latency, and instruction-following accuracy

• Integrate frontier AI models such as OpenAI, Anthropic Claude, and Google models while helping define long-term AI architecture strategies

Design & Development

• Build and maintain high-performance backend services using Python and Golang or Java

• Develop modern, responsive enterprise applications using React.js and Next.js

• Own features end-to-end, from architecture and implementation through deployment and production support

• Design scalable distributed systems that are secure, observable, and performant

• Drive cloud deployments using AWS, GCP, or Azure with strong CI/CD, Infrastructure as Code (IaC), monitoring, and operational excellence

Quality & Best Practices

• Write clean, maintainable, and well-tested code with strong focus on performance, scalability, and reliability

• Establish engineering best practices around testing, deployment, observability, and documentation

• Continuously evaluate emerging technologies and AI advancements to improve product capabilities

• Proactively identify opportunities to improve system performance, engineering productivity, and platform resilience
  

Requirements

• 1 year of professional software engineering experience building and operating enterprise-scale software systems

• Proven production experience developing AI agent systems involving multi-step reasoning, planning, memory, and tool usage

• Strong hands-on experience with Python and either Golang or Java

• Production experience with Retrieval-Augmented Generation (RAG), including vector databases, embedding pipelines, hybrid search, and retrieval optimization

• Solid frontend development experience using React.js, Next.js, or equivalent frameworks

• Strong understanding of distributed systems architecture and software scalability

• Hands-on experience building and deploying agentic AI systems using frameworks such as LangGraph, LangChain, LlamaIndex, CrewAI, or equivalent orchestration frameworks

• Experience working with vector databases such as Pinecone, Weaviate, Qdrant, pgvector, or similar technologies

• Experience deploying, fine-tuning, or optimizing open-source LLMs is highly preferred

• Knowledge of AI evaluation methodologies, prompt testing, model benchmarking, and hallucination measurement is a strong advantage

Work Environment

• High-Intensity Environment: Fast-paced startup with demanding workload and potential weekend work when needed

• Flexible Hours: flexibility is required for project deadlines and global team collaboration

• Regional Collaboration: Work closely with colleagues, clients, and partners across Asia
  
  

What We’re Looking For

• Results-Oriented: Technical decision-making ability considering business impact

• Initiative: Self-starter with strong decision-making and execution capabilities

• Adaptability: Flexibility to handle changing priorities and requirements

• Growth Mindset: Commitment to continuous learning and improvement

• Collaboration: Effective communication with diverse, multicultural team members

What We Offer

• Competitive salary commensurate with experience, plus performance-based bonus

• Meaningful equity participation with ownership in the company's future growth

• Direct ownership of an AI-Native enterprise platform powering critical business decisions

• Opportunity to work alongside a senior, ambitious, and high-performing engineering team

• Learning budget for conferences, courses, certifications, books, and professional development

• Modern technology stack and the freedom to make impactful architectural decisions

• Significant visibility and measurable impact on products used by enterprise clients across the region

Job Description:

1. Oversees projects management and implementation;
2. Codify implementation design into documented for end user's record;
3. Conduct training and presentation for team members and end-users;
4. Provide technical testing or support to pre-sales engineer/customer on the network setup;
5. Assist on technical communications with customer/partner, to ensure closure of sales order;
6. Ensuring that the solution can deliver on the customer’s requirements;
7. Work closely with Level 2 support, if case issue is escalated to Level 3;
8. Maintain rapport with customers and competence in managing vendors; and
9. Any other ad-hoc duties assigned.

Job Requirement:

• Degree/Diploma in IT Networking or equivalent
• At least 2 years of work experience in a SI or distributor environment with network security skillset
• Good IT knowledge in OSI 7 Layer, TCP/IP, LAN/WAN technologies and network security
• Ability to work under pressure with minimal supervision
• Excellent in communication and analytical skill
• Experience in network security projects implementation
• Positive working attitude and a good team player
• Willing to work extended office hours and after office hours when needed
• Exposure to security solution such as Firewall, local balancer or endpoint protection will be an added advantage

Responsibilities

• Day to Day monitoring and ownership to timely address in-line SPC/defect/Equipment abnormality, handling and disposition

• Manage projects in productivity improvement, particularly for new processes, using process characteristic analytical tool to improve process condition and technology

• Establish process parameters for a variety of semiconductor equipment to ensure line stability

• Evaluation and development of new equipment/materials/process

Qualifications

• Minimum requirement of a Bachelor's Degree in Electronic Engineering , Electrical Electronic Engineering, Chemical Engineering, Materials Science, Mechanical Engineering and Physics

• Demonstrated experience of at least 5-7 years in semiconductor foundry dry etch module process

• 22/28 nanometer and below advance technology nodes experience is highly desirable

• Strong understanding of process development, optimization and troubleshooting.

• Proven leadership skills in leading cross-functional teams and managing projects related to process improvement or technology transfer

• Ability to analyze complex process issues, identify root causes, and implement effective solutions

• Experience skills including SPC, 8D reporting, DOE, FMEA and PMO is preferred

• Able to commit shift work

About the Role

We are seeking an experienced HVAC / Cleanroom Design Engineer to support semiconductor and high-tech facility projects.

Responsibilities

• Design chilled water systems, AHUs, MAUs, EFUs and cleanroom HVAC systems.
• Perform cooling load calculations and airflow analysis.
• Develop HVAC layouts, duct routing and equipment specifications.
• Review subcontractor shop drawings and technical submissions.
• Support construction, testing, balancing and commissioning activities.
• Participate in design coordination and BIM reviews.

Requirements

• Degree in Mechanical Engineering.
• 5+ years semiconductor, cleanroom or industrial HVAC experience.
• Familiar with SEMI standards and cleanroom design.
• Proficient in AutoCAD and BIM coordination tools.
• Experience in construction and commissioning preferred.

Responsibilities

● Responsible for the whole-process management of production materials, consumables, semi-finished products and finished products in strict accordance with GMP requirements

● Mastery of the principles of DP equipment, familiarity with the production process, you may be able to operate equipment independently and perform basic maintenance of related equipment

● In accordance with GMP requirements, draft and revise related operating procedures, batch production records and related files

● Strictly adhere to change control and deviation investigation process, organize the drafts and implementation of changes, conduct deviation investigations, and establish corrective and preventive actions

● Analyze and solve problems arising in the manufacturing process independently and understand how to contribute to solving problems and optimizing the process through literature review

● Continuously optimize production processes and workflows to ensure production quality and improve production efficiency

● Familiar with project production and transfer processes, capable of conducting gap analysis and project transfer

● As a project lead, communicate internally and externally with other departments and clients to ensure the effective implementation of the project and solve the problems arising in the project

● Participate in designing and recommending new plants

● Participate in audits related to DP manufacturing

● Adherence to company compliance requirements

Requirements

● Bachelor’s Degree with a major in any of the relevant disciplines: Pharmaceutical Manufacturing, Pharmaceutical Engineering, Pharmacy, Bioengineering, Biotechnology, Chemical Engineering, Microbiology, etc.

● Knowledge of GMP is preferred, and expertise in aseptic production is an advantage.

● Solid foundational knowledge in pharmacy and biotechnology, with proficiency in Microsoft Office.

● Good English language skills, literature review skills, and a proactive approach to problem-solving in the workplace.

● Strong hands-on operational ability, with careful and conscientious equipment operation and timely record-keeping.

● Good communication and presentation skills.

● Strong team collaboration, efficient execution, and a great sense of ownership.

Career Development

● Comprehensive in-house training program (E-learning / OJT / Mentorship)

● Dual career development tracks – Professional & Managerial Tracks

● Opportunity for internal job rotation / Cross-BU transfer / Cross-country assignment

● Cross cultural learning

● GMP greenfield start-up experience

Job Responsibilities:

• Support data classification and taxonomy methods and standards, understand business, cooperate with data team.
• Support analysis, identification and marking various data samples in storage, and ensure accuracy and recall rate.
• Support R&D team to improve algorithm recognition and machine learning ability, analyze bad case of algorithm recommended data labels, put forward suggestions and basis for annotation/labelling, and participate in the discussion of algorithm model improvement solutions.
• Deeply understand the business, investigate the data samples of each business line, and improve the classification standard of data labels and sample database.
• Improve the data annotation operation process, optimize the label sampling and review mechanism, and improve the efficiency of manual standards.
• Participate in the functional optimization design of the annotation platform.

Qualifications:

• Bachelor’s Degree in Computer Science or IT related discipline.
• At least 1 year of working experience in data analyst or DBA, familiar with all kinds of data samples in storage.
• Excellent communication and analysis skills and good reasoning skills, able to quickly understand the business and judge the sample type according to the business attributes.
• Willing to perform repetitive tasks effectively with a minimum of errors.
• Knowledge and keen interest in artificial intelligence and machine learning.

⚖️ Eligibility: Singaporean. (Note :Work pass sponsorship is not available for this role)

Job Description

• Industry/ Organization Type: Electrical & Instrumentation Solutions Provider
• Position Title: Sales Engineer
• Working Location: Joo Seng (Walk distance from MRT)
• Working Hours: 5 Days, Mon – Fri (8.30am – 5.30pm)
• Salary Package: Basic Salary + Transport & Mobile Allowance + Performance Bonus
• Duration: Permanent

Key Responsibilities

• Expand and develop key accounts within the Oil & Gas, Pharmaceutical, and other industrial sectors to support the company's growth in Singapore.
• Handling technical sales support and provide advice to clients to promote electrical products and identify business opportunities.
• Execute the full spectrum of sales process to maintain and expand customer bases.
• Achieve or exceed sales target and gross margin goals with designated accounts.
• Identify the specific technical needs of customers while gathering commercial and competitive insights for each account.
• Build effective, long-lasting relationships across all levels of customer organizations.
• Acquire excellent level understanding of products, the electrical goods market, as well as the competitors.

APPLY NOW!!!

• Minimum Nitec or Diploma in Electrical Engineering or a related field.
• At least 1 to 2 years of sales experience with industrial clients.
• Strong technical and commercial acumen.
• Preferably with good knowledge of electrical products.
• Exceptional communication, interpersonal, and negotiation abilities.
• Possess Class 3 driving license.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #72184 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Rachael Lee | EA Reg No.: R2093131

Responsibilities:

• Design, develop, and maintain automation scripts for functional, regression, and performance testing.
• Perform manual testing to validate new features, UI/UX, and system functionality before automation.
• Collaborate with development and test teams to understand application/product features and design appropriate test cases (both manual and automated).
• Create and execute manual and automated test plans for web, mobile, and product.
• Monitor and maintain the health of the automation suite, ensuring high test coverage and quick execution.
• Troubleshoot issues, identify root causes, and provide detailed bug reports to the development team.
• Update and maintain testing documentation, including test cases, test plans, and results.

Requirements:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 3+ years of experience in manual and automation testing with writing test cases.
• Proficiency in automation frameworks like Selenium, Appium, TestNG, or similar.
• Hands-on experience with programming like Java, Python, C#, or JavaScript.
• Experience in manual testing methodologies, including functional, UI, exploratory, and regression testing.
• Experience with testing tools like Katalon, Postman, RestAssured, or SOAPUI.
• Knowledge of test management tools (e.g., JIRA, TestRail).
• Good understanding of Agile/Scrum methodologies.
• Knowledge of performance and load testing tools like JMeter or LoadRunner will be nice to have