Senior Smart Manufacturing Integration Engineer

Agilent Technologies; George Town; On-site; MYR 180,000 - 420,000; Full time

Job summary

Agilent Technologies Malaysia in George Town, Penang, invites a senior automation engineer to lead production-floor workflow studies using Siemens Tecnomatix Plant Simulation, develop discrete-event models, and optimize capacity, line balancing, and automation concepts.

The role requires hands-on experience with PLCs, SCADA (Ignition), OPC UA, MQTT, and UNS/IIoT concepts, translating simulation outputs into practical factory improvements and scalable manufacturing solutions.

Qualifications

• Bachelor/Master/PhD in Automation or related engineering.
• 8+ years in smart manufacturing or automation engineering.
• Hands-on with Tecnomatix Plant Simulation and production-floor systems.
• Experience with Ignition, SCADA, PLCs, and industrial protocols.

Responsibilities

• Lead production-floor workflow and capacity studies.
• Develop discrete-event simulation models and scenario logic.
• Conduct what-if analyses, bottleneck and line-balancing studies.
• Translate simulation outputs into practical factory improvements.
• Define machine connectivity for new automation equipment.
• Coordinate integration with Ignition SCADA, OPC UA, and MQTT.
• Develop Tecnomatix libraries, SCADA templates, and data models.
• Support FAT/SAT, installation, commissioning, and ramp-up.

Skills

Leadership

Cross-functional collaboration

Problem solving

Communication

Analytical thinking

Project planning

Education

Bachelor or Master or PhD in Automation, Mechatronics, Electrical, Manufacturing, Industrial, Computer Engineering

Tools

Siemens Tecnomatix Plant Simulation

Ignition SCADA

OPC UA

MQTT

Sparkplug B

Industrial networking

Job description

Job Description

• Lead production-floor workflow, capacity, material-flow, and resource-utilization studies using Siemens Tecnomatix Plant Simulation.
• Develop discrete-event simulation models and scenario logic covering production lines, equipment, operators, buffers, material handling, product routing, process logic, cycle times, and operational constraints.
• Conduct what-if analysis, bottleneck analysis, line balancing, capacity studies, and automation assessments to optimize production processes and factory layouts.
• Translate simulation outputs into practical recommendations for factory layout, production workflow, automation architecture, capacity improvement, and equipment investment.
• Define machine connectivity and data requirements for new automation equipment, including PLC interfaces, equipment states, alarms, production counters, process parameters, quality results, and diagnostic information.
• Coordinate the integration of machines with Ignition SCADA for equipment visualization, alarming, historical data collection, operational monitoring, and performance analysis.
• Develop standardised machine tag structures, naming conventions, equipment models, and contextualised data aligned with Unified Namespace principles.
• Support connectivity through approved industrial protocols and technologies, including OPC UA, MQTT, Sparkplug B, industrial Ethernet, and APIs.
• Ensure automation suppliers provide integration-ready equipment with appropriate controls hardware, communication capability, interface documentation, data-point lists, network requirements, and test provisions.
• Collaborate with Production, Manufacturing Engineering, Controls, IT, OT, Cybersecurity, MES, and Quality teams to ensure the complete solution is secure, reliable, maintainable, and scalable.
• Develop and execute verification plans for workflow performance, simulation accuracy, machine connectivity, SCADA visualization, tag behaviour, alarm handling, historian data, communication recovery, and system integration.
• Support FAT, SAT, installation, commissioning, qualification, ramp-up, troubleshooting, and handover of automation and connectivity solutions at manufacturing sites.
• Develop reusable Tecnomatix simulation libraries, SCADA templates, connectivity standards, equipment data models, and engineering guidelines for future projects and multi-site deployment.

Qualifications

• Bachelor or Master or PhD in Automation, Mechatronics, Electrical, Manufacturing, Industrial, Computer Engineering or a related engineering discipline from an accredited college/university.
• Minimum 8 years of relevant experience in smart manufacturing, factory automation, manufacturing systems, industrial digitalisation, or automation engineering.
• Hands-on experience with Siemens Tecnomatix Plant Simulation, including discrete-event simulation, production workflow modelling, scenario planning, capacity analysis, bottleneck analysis, and process optimisation.
• Hands-on experience working directly with manufacturing operations and production-floor equipment, with the ability to troubleshoot issues across the physical machine, controls, connectivity, SCADA, and manufacturing-system layers.
• Experience in factory automation, machine integration, PLCs, SCADA, and industrial communication protocols, with practical knowledge of Ignition, OPC UA, MQTT/Sparkplug, and industrial networking.
• Knowledge and experience in Unified Namespace (UNS), IIoT, OT/IT integration, MES/MOM, and manufacturing data architecture.
• Programming/scripting experience in SIMTalk and/or Python, with working knowledge of SQL and/or JavaScript. Experience with C#, VBA, or other programming languages is an advantage.
• Strong technical, analytical, problem-solving, and troubleshooting skills, with the ability to translate production-floor challenges into scalable automation and digital manufacturing solutions.
• Demonstrate strong leadership, influencing, communication, project planning, and cross-functional collaboration skills.
• Team player who can effectively collaborate with Manufacturing, Controls, IT/OT, MES, Operations, Engineering, and external system integrators.
• Able to adapt well in a dynamic manufacturing environment, learn emerging Industry 4.0 technologies, and work independently with minimal supervision.

Additional Details

This job has a full time weekly schedule.

Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locations

Agilent Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.

Travel Required:

Occasional

Shift:

Day

Duration:

No End Date

Job Function:

Manufacturing