Automation Systems Engineer E3

Who We Are

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting‑edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT.

If you want to push the boundaries of materials science and engineering to create next‑generation technology, join us to deliver material innovation that changes the world.

Salary: $ – $

Location:

Austin, TX

You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.

As a Systems Engineer, you’ll design, integrate, and optimize complex systems that drive the semiconductor industry forward. Your expertise in systems thinking and problem‑solving is essential as you collaborate with cross‑functional teams to develop advanced solutions to intricate processes and writing system specifications. You’ll be responsible for analyzing requirements, defining system architectures, conducting thorough testing, and ensuring seamless integration of subsystems.

Additionally, you’ll identify and mitigate risks, confirming that our systems meet the highest quality standards and exceed customer expectations.

• 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.

• Deep 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.
• 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.
• Proficiency in programming languages such as Java, Python, Groovy, and JavaScript.
• Knowledge of network protocols and communication standards (e.g., TCP/IP, SNMP).
• Familiarity with cloud platforms and services (e.g., AWS, Azure, VMware).
• Understanding of software development life cycle (SDLC) and agile methodologies.
• Expertise in PLC programming and SCADA systems.
• Experience with PID tuning, HMI development, and industrial networking.
• Knowledge of AutoCAD Electrical and LabVIEW.
• Familiarity with data connectivity, including data integration, data warehousing, and data visualization.
• Understanding of Industry 4.0 technologies such as IoT, AI, machine learning, and cyber‑physical systems.

• Ability to align automation,…