Applied Materials

Systems Automation Engineer

Singapore
Machine Learning Assembly
Description

Key Responsibilities

  • Design, develop, and implement automation and control systems for various applications.

  • Troubleshoot and resolve issues related to automation, control, and data connectivity systems.

  • Collaborate with cross-functional teams to identify automation opportunities and requirements.

  • Develop and maintain documentation for automation, control, and data connectivity processes and systems.

  • Ensure compliance with industry standards and best practices in automation, control, and Industry 4.0.

  • Ensure the uptime and reliability of all equipment and systems.

  • Deliver sustainable automation and control solutions that support long-term operational goals.

Functional Knowledge

  • Expertise in PLC programming and SCADA systems.

  • Experience with PID tuning, HMI development, and industrial networking.

  • Expertise in electrical automation, including the design and implementation of control systems, sensors, and actuators to monitor and regulate electrical processes.

  • Familiarity with electrical circuits, power systems, and control theory to create customized automation solutions.

  • Skills in data connectivity, including data integration, data warehousing, and data visualization.

  • Knowledge of network protocols and communication standards (e.g., TCP/IP, SNMP).

  • Understanding of Industry 4.0 technologies such as IoT, AI, machine learning, and cyber-physical systems.

  • Good understanding of robotics applications, including robotic system integration, collaborative robots (cobots), and AI in robotics.

  • Proficiency in vision systems engineering, including machine vision, image processing algorithms, and integration with automated equipment.

  • Experience with assembly automation, including robotic arms, automated guided vehicles (AGVs), and conveyor systems.

  • Knowledge of packaging automation, including automated packaging machinery, case erectors, palletizers, and stretch wrap machines.

Business Expertise

  • Ability to align automation, control, and data connectivity strategies with business goals and objectives.

  • Experience in analyzing business processes to identify automation and control opportunities.

  • Understanding of industry-specific regulations and compliance requirements.

  • Capability to assess the financial impact of automation, control, and data connectivity projects and justify investments.

Leadership

  • Lead and mentor a team of junior automation, control, and data connectivity engineers.

  • Provide technical guidance and support to team members.

  • Drive continuous improvement initiatives within the automation, control, and data connectivity team.

  • Communicate effectively with stakeholders at all levels of the organization.

Problem Solving

  • Strong analytical and troubleshooting skills to diagnose and resolve automation, control, and data connectivity issues.

  • Ability to develop innovative solutions to complex automation, control, and data connectivity challenges.

  • Experience in conducting root cause analysis and implementing corrective actions.

  • Proficiency in using diagnostic tools and techniques to identify system inefficiencies.

Impact

  • Enhance operational efficiency and productivity through effective automation, control, and data connectivity solutions.

  • Reduce manual intervention and human error in critical processes.

  • Contribute to the overall success of the organization by driving automation, control, and data connectivity initiatives.

  • Improve system reliability and performance through proactive monitoring and maintenance.

  • Ensure the sustainability of automation and control solutions to support long-term operational goals.

Interpersonal Skills

  • Excellent communication skills to interact with technical and non-technical stakeholders.

  • Ability to work collaboratively in a team environment.

  • Strong organizational and time management skills.

  • Adaptability to changing project requirements and priorities.

Qualifications

Education:

Bachelor's Degree

Skills:

Certifications:

Languages:

Years of Experience:

4 - 7 Years

Work Experience:

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 10% of the Time

Relocation Eligible:

No

Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law. 

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