Total 233 Engineering job vacancies in Surabaya, East Java

Job Description :

• to do conceptual and detailed machine design with regard to mechanical aspects;
• to prepare final design configurations, layouts, solid models, and production/engineering data;
• to prepare solid models, layouts, views, and bills of materials for assigned design machine assemblies and sub-assemblies;
• to exercise cost control when designing machines;
• to install mechanical and electrical components and assemble automated machines;
• to perform machine testing, troubleshooting;
• to prepare machine documentation, specifications, manual;
• to liaise and coordinate with manufacturing and purchasing departments, customers, suppliers about the project, quality, and delivery matters;
• to give suggestions to the Company on how to improve all assigned tasks with regards to efficiency and effectiveness of the same

Job Requirement :

• Degree/Diploma in Mechanical Engineering;
• Minimum 2 years working experience in designing automation systems or machines for the semiconductor, electronics, or solar industry;
• Proficiency with Solid Works is desirable;
• Ability to lead, manage projects and communicate well with customers, vendors, engineers, technicians, and team members.

Location: Kaki Bukit
Working Hours: Mon – Fri, 8:30am – 5:00pm
Salary:$3,500 – $4,500 (commensurate with experience)

We are looking for a dedicated Field Service Engineer to join our team in a cleanroom environment, supporting the installation, maintenance, and servicing of semiconductor/PCB equipment.

Responsibilities:

• Install, commission, and service semiconductor/PCB production equipment.
• Perform troubleshooting, preventive, and corrective maintenance.
• Provide technical support and training to clients.
• Prepare service reports and documentation.
• Work closely with engineering teams to improve system performance.

Requirements:

• Diploma/Degree in Electrical, Electronics, Mechanical, or related field.
• Experience in semiconductor or PCB manufacturing equipment servicing.
• Comfortable with 2-year contract with potential for renewal and career progression.
• Willing to travel overseas when required.
• Regular overseas training in Japan, twice annually, with opportunities for global project exposure.
• Comfortable working in a cleanroom environment.

To apply, please click on "Apply Now" or email your most recent resume to dorothy@recruitlync.com/ Whatsapp 85017683.

Ooi Shi Hui Dorothy (R1762852)
Recruit Lync Pte Ltd (22C1000)

Job Description:

• Develop Instrumentation and Control (I&C) deliverables: datasheets, drawings,documentation.
• Ensure I&C projects meet the specifications, budget, relevant codes, standards, and safety regulations.
• Proficient in understanding and implementing the technical specifications to the project deliverables.
• Involve in HAZOP, SIL, technical reviews and clarifications with stakeholders.
• Formulate RFQs, evaluate bids and recommend vendors/suppliers of I&C Systems.
• Responsible for I&C change orders and meeting the delivery lead time and stakeholder expectation.
• Participate in Inspection and Field Acceptance Test for PLC/HMI panels, Instruments etc.
• Cooperate with process, mechanical, electrical, piping disciplines to ensure smooth project delivery.
• Provide technical support and advice during the construction, testing, and commissioning phases.
• Support tender preparation and cost estimation.

Requirements:

• Minimum Diploma in Electronic Engineering or Instrumentation Engineering or related fields.
• Minimum 3-5 years of working experience in I&C design, preferably in water and wastewater treatment projects.
• Knowledge of instrumentation devices such as sensors, transmitters, actuators, control valves, and flow meters.
• Know-how of installation of instruments.
• Good verbal and written communication skills.
• Ability to work collaboratively within a multidisciplinary team.
• Proactive, adaptable, and committed to continuous learning and professional development.
• Ready to travel overseas at short notice.

Job Description:

• Develop Electrical deliverables: datasheets, drawings, documentation.
• Ensure Electrical projects meet the specifications, budget, relevant codes, standards, and safety regulations.
• Proficient in understanding and implementing the technical specifications to the project deliverables.
• Involve in HAZOP, SIL, technical reviews and clarifications with stakeholders.
• Formulate RFQs, evaluate bids and recommend vendors/suppliers of Electrical Components and Systems.
• Responsible for Electrical change orders and meeting the delivery lead time and stakeholder expectations.
• Participate in Inspection and Field Acceptance Test for MCC/VFD panels, electrical motors etc.
• Cooperate with process, mechanical, Instrument/Control, piping disciplines to ensure smooth project delivery.
• Provide technical support and advice during the construction, testing, and commissioning phases.
• Support tender preparation and cost estimation.

Requirements:

• Minimum Diploma in Electrical Engineering / Electrical & Electronics Engineering or related fields.
• Minimum 3-5 years of working experience in electrical designs, preferably in water and wastewater treatment projects.
• Strong understanding of Electrical motors, starters and VFD.
• Know-how of electrical equipment installation and commissioning.
• Good verbal and written communication skills.
• Ability to work collaboratively within a multidisciplinary team.
• Proactive, adaptable, and committed to continuous learning and professional development.
• Ready to travel overseas at short notice.

Job Responsibilities:

• Monitor, assess customer returns and work on corrections, corrective and preventive to improve product quality and manufacturing process.
• Monitor, coordinate and manage all inspection, measurement and test equipment maintenance program within IQE and IQA sections.
• Monitor, coordinate and manage all inspection, measurement and test equipment due for calibration within IQE and IQA sections.
• Manage and enforce counterfeit supplies avoidance measures and controls to ensure compliance to Corporate policies and Plant QMS requirements.
• Responsible for maintaining the need for qualification and validation of environment, equipment/tool/machine within IQE and IQA locations to remain in qualified and/or validated state.
• Conduct and actively participate in risk management matters and documentations that are associated to QMS, EMS, DCC and CAPA processes and systems.
• Conduct training on Plant procedure for Incoming Quality and all its associated procedures, work instructions and forms to peers and subordinates.
• Interface with manufacturing personnel to drive for continual improvement in product quality.
• Support in all 1st party, 2nd party and 3rd party audits.
• Organize and actively participate in internal audits (such as manufacturing process and ESD audits) where applicable and necessary.
• Actively participate and support in customer and supplier audits where applicable and necessary.
• Manage, coordinate and actively participate in all regulatory body audits and statutory organization inspections.
• Support in Supplier Quality performance and work with supplier on incoming part/component/material quality matters for continual improvement.
• Support in managing suppliers by performing system and compliance audits on suppliers during supplier selection, qualification/evaluation and re-evaluation to ensure compliance to Regulatory, Corporate and Plant QMS requirements.
• Support in reviewing and approving NCMR’s with “Use-As-Is” depositions to ensure parts/materials/components in the Material Review Board (MRB) have been appropriately classified and qualified.
• Oversee the responses, reporting and timely submissions of Plant and Corporate driven performance reports in areas associated with the IQA operations and SQE functions.
• Play a key role in enforcing effective communication and social-interaction across all departments/sections whenever necessary.
• Assist, lead and collaborate with other departments/sections on departmental/sectional improvement projects to improve productivity, eliminate operational waste and increase efficiency of work.
• Lead / participate in continuous improvement projects.
• Assist and support the immediate superior and Plant appointed Management Representative (MR) to drive continuous improvement initiatives and strategies within the department/section through CAPA, Change Control, Lean Six Sigma (LSS), Kaizen and Mini-company approaches.
• Other roles, responsibilities and duties as assigned in Corporate and Plant management system documentations, such as in Plant adopted procedures and work instructions.

Job Requirements:

• Minimum Degree or Diploma in Electronics / Mechanical / Manufacturing Engineering or equivalent.
• Minimum 3 years experience in electronics manufacturing environment as QA Engineer or in related field, especially in IMS industry is preferred.
• Knowledge of manufacturing processes and ESD control or in the related field preferred.
• Knowledge of manufacturing in PCBA environment or in related field, and application of associated IPC standards preferred.
• Knowledge of International Industrial standard is required ISO 9001, ISO 14001, ISO 13485,US FDA 21 CFR Part 820, US FDA 21 CFR Part 11, Japan PMDA MHLW Ordinance Number 169, MDSAP
• Knowledge of Quality Tools, problem solving skills is preferred.
• Experience in operating Agile PQM, Agile PLM, Receiving Meastro, Inspection Meastro, SQR, Oracle and MRB is preferred.
• Proficient in Microsoft Office applications (i.e. Excel, Words and PowerPoint), Google Looker Studio.
• Knowledge and experience in Lean Manufacturing and 6-Sigma Management is preferred.
• Trained in FMEA and Technical Writing will be an added advantage.
• Application of Artificial Intelligence (AI) and automation works.
• Equipped with soft skills in managing people, leadership qualities, analytical and logical thinking are preferred.
• Experience in incoming quality assurance and its daily operational deliverables will be an added advantage.

Job Description & Requirements

• Creating 3D models and project designs using computer software.
• Negotiating contracts with suppliers and contractors.
• Hiring and training construction employees.
• Ensuring compliance with government regulations and building codes.
• Testing equipment and materials to ensure they meet industry standards.
• Preparing progress reports for executives and clients.

• Bachelor's degree in Civil Engineering, Construction Engineering, or a related field.
• Relevant experience in construction engineering or a similar role.
• Familiarity with construction management software and 3D design tools.
• Strong leadership, communication, and problem-solving skills.
• Knowledge of relevant safety regulations and building codes.

Key Responsibilities:

• This ML Ops / Integration Engineer role focuses on building and integrating Generative AI and Agentic AI solutions into enterprise environments. You will work closely with data scientists, architects, and DevOps teams to design, implement, and optimize AI pipelines and infrastructure.
• Develop and maintain automation scripts using Linux shell scripting, Python, or other relevant tools.
• Ensure seamless deployment and integration between cloud/prem environments (AWS).
• Integrate AI models into production environments using containerized platforms such as OpenShift.
• Implement and maintain network security protocols to safeguard AI systems and data pipelines.
• Collaborate with cross-functional teams to understand AI workflows and translate them into robust engineering solutions.
• Monitor and optimize system performance, reliability, and scalability.
• Support CI/CD processes and infrastructure for AI model deployment and updates.

Skills Required

• Experience in Machine Learning engineering or AI system integration.
• Bash and Unix/Linux command-line toolkit is a must-have.
• Hands-on experience with OpenShift, Docker, Kubernetes.
• Knowledge of cloud platforms (e.g. AWS) is a must-have.
• Exposure to data and network security and compliance in AI systems.
• Knowledge of API integration and microservices architecture.
• Proficiency in Python used both for automation and ML-related tasks
• Knowledge of Workflow Orchestrator, such as Ctrl-M
• Good knowledge of Logging and Monitoring tools, such as Splunk and Geneos.
• Experience with Observability framework, such as Langfuse, Elastic Stack, Grafana, OpenTelemetry.
• Understanding of Generative AI (e.g. prompt engineering, RAG pipelines) and Agentic AI concepts.

•This ML Ops / Integration Engineer role focuses on building and integrating Generative AI and Agentic AI solutions into enterprise environments. You will work closely with data scientists, architects, and DevOps teams to design, implement, and optimize AI pipelines and infrastructure.

•Develop and maintain automation scripts using Linux shell scripting, Python, or other relevant tools.

•Ensure seamless deployment and integration between cloud/prem environments (AWS).

•Integrate AI models into production environments using containerized platforms such as OpenShift.

•Implement and maintain network security protocols to safeguard AI systems and data pipelines.

•Collaborate with cross-functional teams to understand AI workflows and translate them into robust engineering solutions.

•Monitor and optimize system performance, reliability, and scalability.

•Support CI/CD processes and infrastructure for AI model deployment and updates.

Skills Required

•Experience in Machine Learning engineering or AI system integration.

•Bash and Unix/Linux command-line toolkit is a must-have.

•Hands-on experience with OpenShift, Docker, Kubernetes.

•Knowledge of cloud platforms (e.g. AWS) is a must-have.

•Exposure to data and network security and compliance in AI systems.

•Knowledge of API integration and microservices architecture.

•Proficiency in Python used both for automation and ML-related tasks

•Knowledge of Workflow Orchestrator, such as Ctrl-M

•Good knowledge of Logging and Monitoring tools, such as Splunk and Geneos.

•Experience with Observability framework, such as Langfuse, Elastic Stack, Grafana, OpenTelemetry.

•Understanding of Generative AI (e.g. prompt engineering, RAG pipelines) and Agentic AI concepts.