Senior Smart Manufacturing Integration Engineer

Posted 3 Hours Ago
Be an Early Applicant
Penang, Daerah Timor Laut, Penang, MYS
In-Office
Senior level
Biotech
The Role
Leads smart manufacturing integration through discrete-event simulation, factory workflow and capacity optimization, machine connectivity, SCADA integration, industrial protocols, and Unified Namespace data architecture. Develops simulation models, equipment data standards, verification plans, and reusable engineering templates. Collaborates across manufacturing, controls, IT/OT, MES, cybersecurity, and quality teams while supporting FAT, SAT, commissioning, troubleshooting, ramp-up, and multi-site deployment.
Summary Generated by Built In
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 standardized machine tag structures, naming conventions, equipment models, and contextualized 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 behavior, 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 digitalization, or automation engineering.
  • Hands-on experience with Siemens Tecnomatix Plant Simulation, including discrete-event simulation, production workflow modeling, scenario planning, capacity analysis, bottleneck analysis, and process optimization.
  • 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, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.Travel Required: OccasionalShift: DayDuration: No End DateJob Function: Manufacturing

Skills Required

  • Bachelor’s, Master’s, or PhD in Automation, Mechatronics, Electrical, Manufacturing, Industrial, Computer Engineering, or a related engineering discipline
  • Minimum 8 years of relevant experience in smart manufacturing, factory automation, manufacturing systems, industrial digitalization, or automation engineering
  • Hands-on experience with Siemens Tecnomatix Plant Simulation, including discrete-event simulation, workflow modeling, scenario planning, capacity analysis, bottleneck analysis, and process optimization
  • Hands-on experience with manufacturing operations and production-floor equipment, including troubleshooting across machine, controls, connectivity, SCADA, and manufacturing-system layers
  • Experience with factory automation, machine integration, PLCs, SCADA, industrial communication protocols, Ignition, OPC UA, MQTT/Sparkplug, and industrial networking
  • Knowledge and experience with Unified Namespace, IIoT, OT/IT integration, MES/MOM, and manufacturing data architecture
  • Programming or scripting experience in SIMTalk and/or Python, with working knowledge of SQL and/or JavaScript
  • Strong technical, analytical, problem-solving, troubleshooting, leadership, communication, project planning, and cross-functional collaboration skills
  • Ability to work independently, adapt to a dynamic manufacturing environment, and learn emerging Industry 4.0 technologies
  • Experience with C#, VBA, or other programming languages

Agilent Technologies Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Agilent Technologies and has not been reviewed or approved by Agilent Technologies.

  • Retirement Support The core U.S. package highlights a generous 401(k) match as a strength. Retirement programs are positioned as competitive within the company’s total rewards.
  • Equity Value & Accessibility An Employee Stock Purchase Plan at a discount provides accessible equity and augments total compensation. Ownership opportunities are presented as a notable advantage alongside retirement benefits.
  • Leave & Time Off Breadth Flexible Time Off, company holidays, a personal holiday, and paid volunteer time create a broad leave offering. Time off can accrue into multiple weeks in the first year, supporting flexibility.

Agilent Technologies Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Santa Clara, CA
17,369 Employees
Year Founded: 1999

What We Do

Analytical scientists and clinical researchers worldwide rely on Agilent to help fulfill their most complex laboratory demands. Our instruments, software, services and consumables address the full range of scientific and laboratory management needs—so our customers can do what they do best: improve the world around us. Whether a laboratory is engaged in environmental testing, academic research, medical diagnostics, pharmaceuticals, petrochemicals or food testing, Agilent provides laboratory solutions to meet their full spectrum of needs. We work closely with customers to help address global trends that impact human health and the environment, and to anticipate future scientific needs. Our solutions improve the efficiency of the entire laboratory, from sample prep to data interpretation and management. Customers trust Agilent for solutions that enable insights...for a better world.

Similar Jobs

Pfizer Logo Pfizer

Health Representative (Oncology)

Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
In-Office
Penang, Daerah Timor Laut, Penang, MYS
121990 Employees

Micron Technology Logo Micron Technology

Reliability Engineer

Artificial Intelligence • Hardware • Information Technology • Machine Learning
In-Office or Remote
2 Locations
45000 Employees

UL Solutions Logo UL Solutions

Sales Process Specialist (Based in Johor Bahru)

Automotive • Professional Services • Software • Consulting • Energy • Chemical • Renewable Energy
Remote or Hybrid
Malaysia
15000 Employees

Micron Technology Logo Micron Technology

Senior Civil, Structural and Architectural (CSA) Engineer

Artificial Intelligence • Hardware • Information Technology • Machine Learning
In-Office or Remote
2 Locations
45000 Employees

Similar Companies Hiring

Formation Bio Thumbnail
Artificial Intelligence • Big Data • Healthtech • Biotech • Pharmaceutical
New York, NY
150 Employees
SOPHiA GENETICS Thumbnail
Software • Healthtech • Biotech • Big Data • Artificial Intelligence
Boston, MA
450 Employees
Pfizer Thumbnail
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
New York, NY
121990 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account